Sridhar Krishnan

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Low sampling rate algorithm for wireless ECG systems based on compressed sensing theory

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2015, Signal Image Video Process..

Discrimination of pathological voices using an adaptive time-frequency approach

Karthikeyan Umapathy, Sridhar Krishnan, Vijay Parsa, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A visual saliency modulated just noticeable distortion profile for image watermarking

Lin Ma, Sridhar Krishnan, Azeddine Beghdadi, 2011, 2011 19th European Signal Processing Conference.

A Watermarking Method for Speech Signals Based on the Time-Warping Signal Processing Concept

Cornel Ioana, Arnaud Jarrot, André Quinquis, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Technology for continuous long-term monitoring of pregnant women for safe childbirth

Sridhar Krishnan, George K. Endo, Ibukun Oluwayomi, 2017, 2017 IEEE Canada International Humanitarian Technology Conference (IHTC).

Sound event detection in real-life audio using joint spectral and temporal features

Sridhar Krishnan, Wenjun Yang, 2018, Signal Image Video Process..

Modified local discriminant bases and its applications in signal classification [biomedical signal examples]

Karthikeyan Umapathy, Sridhar Krishnan, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Audio Coding and Classification: Principles and Algorithms

Karthikeyan Umapathy, Sridhar Krishnan, S. Krishnan, 2009 .

An independent-BCI based on SSVEP using Figure-Ground Perception (FGP)

Sridhar Krishnan, Teodiano Freire Bastos Filho, Sandra M. T. Muller, 2016, Biomed. Signal Process. Control..

Autoregressive and Cepstral Analysis of Electromyogram in Rapid Movement Sleep

Sridhar Krishnan, Mehrnaz Shokrollahi, D. Jewell, 2009 .

Improving Position Estimates from a Stationary GNSS Receiver using Wavelets and Clustering

Alagan Anpalagan, Sridhar Krishnan, Bern Grush, 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

Combining least-squares support vector machines for classification of biomedical signals: a case study with knee-joint vibroarthrographic signals

Sridhar Krishnan, Yunfeng Wu, 2011, J. Exp. Theor. Artif. Intell..

Signal classification via multi-scale PCA and empirical classification methods

Sridhar Krishnan, Shengkun Xie, 2011 .

Quantification of fragmented QRS complex using intrinsic time-scale decomposition

Sridhar Krishnan, Feng Jin, Lakshmi Sugavaneswaran, 2017, Biomed. Signal Process. Control..

High - Resolution QRS detection algorithm for wireless ECG systems based on compressed sensing theory

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2013, 2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS).

Foot gait time series estimation based on support vector machine

Sridhar Krishnan, Jeevan K. Pant, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Feature Representation of Pathophysiology of Parkinsonian Dysarthria

Elmar Nöth, Sridhar Krishnan, Juan Camilo Vásquez-Correa, 2019, INTERSPEECH.

Small bowel image classification using dual tree complex wavelet-based cross co-occurrence features and canonical discriminant analysis

Sridhar Krishnan, Guangyi Chen, Guangyi Chen, 2015, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Audio Signal Feature Extraction and Classification Using Local Discriminant Bases

Karthikeyan Umapathy, Sridhar Krishnan, R. K. Rao, 2004, IEEE Transactions on Audio, Speech, and Language Processing.

Audio feature clustering for hearing aid systems

Sridhar Krishnan, Behnaz Ghoraani, Nasim Shams, 2009, 2009 IEEE Toronto International Conference Science and Technology for Humanity (TIC-STH).

Advanced K-means clustering algorithm for large ECG data sets based on a collaboration of compressed sensing theory and K-SVD approach

Mohammadreza Balouchestani, Sridhar Krishnan, S. Krishnan, 2016, Signal Image Video Process..

Multi-domain feature selection in auditory MisMatch Negativity via PARAFAC-based template matching approach

Soosan Beheshti, Sridhar Krishnan, Laurel J. Trainor, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Adaptive time-frequency signal analysis and its case study in biomedical ecgwaveform analysis

Sridhar Krishnan, Vijay S. Chauhan, Behnaz Ghoraani, 2009, 2009 16th International Conference on Digital Signal Processing.

CANDECOMP/PARAFAC model order selection based on Reconstruction Error in the presence of Kronecker structured colored noise

Soosan Beheshti, Sridhar Krishnan, Saeed Pouryazdian, 2016, Digit. Signal Process..

A novel approach to quantification of real and artifactual components of current density imaging for phantom and live heart

Kumaraswamy Nanthakumar, Karthikeyan Umapathy, Farbod Hosseyndoust Foomany, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Spatial-temporal decorrelating decision-feedback multiuser detector for synchronous code-division multiple-access channels

Sridhar Krishnan, B. R. Petersen, 1997, 1997 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM. 10 Years Networking the Pacific Rim, 1987-1997.

Wavelet packets-based speech enhancement for hearing aids application

Sridhar Krishnan, Jiming Yang, 2005 .

Learning Dictionary Via Wavelet Sparse Principal Component Analysis

Sridhar Krishnan, Anna T. Lawniczak, Shengkun Xie, 2015, ICPRAM.

Nonnegative matrix factorization and sparse representation for the automated detection of periodic limb movements in sleep

Sridhar Krishnan, Richard H. Swartz, Sandra E. Black, 2016, Medical & Biological Engineering & Computing.

Exploiting the ambiguity domain for non-stationary biomedical signal classification

Karthikeyan Umapathy, Sridhar Krishnan, Lakshmi Sugavaneswaran, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Feature analysis of dysphonia speech for monitoring Parkinson's disease

Sridhar Krishnan, Alice Rueda, S. Krishnan, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An integrated biosignals wearable system for low-cost blood pressure monitoring

Sridhar Krishnan, Yashodhan Athavale, Amnyah Almahouzi, 2017, 2017 IEEE Canada International Humanitarian Technology Conference (IHTC).

Wearable Hardware Design for the Internet of Medical Things (IoMT)

Sridhar Krishnan, Fayez Qureshi, S. Krishnan, 2018, Sensors.

Small bowel image classification using cross-co-occurrence matrices on wavelet domain

Cornel Ioana, April Khademi, Sridhar Krishnan, 2009, Biomed. Signal Process. Control..

Biomedical sensor design using analog compressed sensing

Mohammadreza Balouchestani, Sridhar Krishnan, 2015, Sensing Technologies + Applications.

Application of a variation of empirical mode decomposition and teager energy operator to EEG signals for mental task classification

Sridhar Krishnan, Aziz Guergachi, Muhammad Kaleem, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Effective Low-Power Wearable Wireless Surface EMG Sensor Design Based on Analog-Compressed Sensing

Mohammadreza Balouchestani, Sridhar Krishnan, S. Krishnan, 2014, Sensors.

Compressive sensing of ECG signals based on mixed pseudonorm of the first- and second-order differences

Sridhar Krishnan, Jeevan K. Pant, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Gaussian Mixture Modeling of Keystroke Patterns for Biometric Applications

Danoush Hosseinzadeh, Sridhar Krishnan, S. Krishnan, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection

Sridhar Krishnan, Jeevan K. Pant, S. Krishnan, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Feature-based MRI data fusion for cardiac arrhythmia studies

Kumaraswamy Nanthakumar, Karthikeyan Umapathy, Farbod Hosseyndoust Foomany, 2016, Comput. Biol. Medicine.

Advanced signal analysis for the detection of periodic limb movements from bilateral ankle actigraphy

Sridhar Krishnan, Yashodhan Athavale, Andrew G. Berneshawi, 2017, Journal of sleep research.

Watermarking and Fingerprinting Techniques for Multimedia Protection

Sridhar Krishnan, Yaqing Niu, Ngok-Wah Ma, 2012 .

Signal decomposition by multi-scale PCA and its applications to long-term EEG signal classification

Sridhar Krishnan, Shengkun Xie, 2011, The 2011 IEEE/ICME International Conference on Complex Medical Engineering.

Relating spatial heterogeneities to rotor formation in studying human ventricular fibrillation

Kumaraswamy Nanthakumar, Karthikeyan Umapathy, Stéphane Massé, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Keystroke Identification Based on Gaussian Mixture Models

April Khademi, Danoush Hosseinzadeh, Sridhar Krishnan, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Performance of compressive sensing for the reconstruction of different QRS pulses in ECG signals

Sridhar Krishnan, Jeevan K. Pant, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Screening of knee joint vibroarthrographic signals by statistical pattern analysis of dominant poles

Sridhar Krishnan, Rangaraj M. Rangayyan, Cyril B. Frank, 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

New channel model for wireless body area network with compressed sensing theory

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2013, IET Wirel. Sens. Syst..

Matrix-Based Ramanujan-Sums Transforms

Sridhar Krishnan, Guangyi Chen, Tien D. Bui, 2013, IEEE Signal Processing Letters.

Concepts for Designing Low-Power Wireless Sensor Networks with Compressed Sensing Theory

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2011 .

Dynamic Principal Component Analysis with Nonoverlapping Moving Window and Its Applications to Epileptic EEG Classification

Sridhar Krishnan, Shengkun Xie, S. Krishnan, 2014, TheScientificWorldJournal.

Advanced K-means clustering algorithm for large ECG data sets based on K-SVD approach

Mohammadreza Balouchestani, Sridhar Krishnan, Lakshmi Sugavaneswaran, 2014, 2014 9th International Symposium on Communication Systems, Networks & Digital Sign (CSNDSP).

Smart metering and functionalities of smart meters in smart grid - a review

Bala Venkatesh, Sridhar Krishnan, Gouri R. Barai, 2015, 2015 IEEE Electrical Power and Energy Conference (EPEC).

Increasing the reliability of wireless sensor network with a new testing approach based on compressed sensing theory

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2011, 2011 Eighth International Conference on Wireless and Optical Communications Networks.

Combining Temporal Features by Local Binary Pattern for Acoustic Scene Classification

Sridhar Krishnan, Wenjun Yang, S. Krishnan, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Analysis of reliability metrics and quality enhancement measures in current density imaging

Kumaraswamy Nanthakumar, Karthikeyan Umapathy, Farbod Hosseyndoust Foomany, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A singular spectrum analysis-based model-free electrocardiogram denoising technique

Sridhar Krishnan, Sourav Kumar Mukhopadhyay, S. Krishnan, 2020, Comput. Methods Programs Biomed..

Low sampling-rate approach for ECG signals with compressed sensing theory

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2013, 2013 ICME International Conference on Complex Medical Engineering.

Reconstruction of ECG signals for compressive sensing by promoting sparsity on the gradient

Sridhar Krishnan, Jeevan K. Pant, S. Krishnan, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Time-Frequency Feature Analysis

Sridhar Krishnan, Behnaz Ghoraani, 2011 .

A Discrete-Time Convergence Model for Proliferation-able Stem Cell and its Estimation using Kalman Filter

Sridhar Krishnan, Javad Alirezaie, Anastasios N. Venetsanopoulos, 2013 .

Time-Frequency Signal Synthesis and Its Application in Multimedia Watermark Detection

Sridhar Krishnan, Lam Le, 2006, EURASIP J. Adv. Signal Process..

Non-negative matrix factorization and sparse representation for sleep signal classification

Sridhar Krishnan, Mehrnaz Shokrollahi, S. Krishnan, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A time-frequency approach for auditory display of time-varying signals

Rangaraj M. Rangayyan, Karthikeyan Umapathy, Sridhar Krishnan, 2001, SIP.

Robust Low-Power Algorithm for Random Sensing Matrix for Wireless ECG Systems Based on Low Sampling-Rate Approach

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2013 .

Audio signal classification using time-frequency parameters

Karthikeyan Umapathy, Sridhar Krishnan, Shihab Jimaa, 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

Adaptive time-frequency matrix features for T wave alternans analysis

Sridhar Krishnan, Vijay S. Chauhan, Behnaz Ghoraani, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Perceptual Coding of Audio Signals Using Adaptive Time-Frequency Transform

Karthikeyan Umapathy, Sridhar Krishnan, S. Krishnan, 2006, EURASIP J. Audio Speech Music. Process..

A signal classification approach using time-width vs frequency band sub-energy distributions

Karthikeyan Umapathy, Sridhar Krishnan, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Log-frequency spectrogram for respiratory sound monitoring

Sridhar Krishnan, Feng Jin, Farook Sattar, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Time-frequency signal decompositions for audio and speech processing

Karthikeyan Umapathy, Sridhar Krishnan, 2005 .

A novel spread spectrum audio watermarking scheme based on time-frequency characteristics

Kaamran Raahemifar, Sridhar Krishnan, S. Esmaili, 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).

Group sparse structure and elastic-net regularization for compressive sensing of pulse-type physiological signals

Sridhar Krishnan, Jeevan K. Pant, S. Krishnan, 2020, Biomed. Signal Process. Control..

Classification of knee-joint vibroarthrographic signals using time-domain and time-frequency domain features and least-squares support vector machine

Sridhar Krishnan, Yunfeng Wu, Yunfeng Wu, 2009, 2009 16th International Conference on Digital Signal Processing.

Compressive Sensing of Electrocardiogram Signals by Promoting Sparsity on the Second-Order Difference and by Using Dictionary Learning

Sridhar Krishnan, Jeevan K. Pant, S. Krishnan, 2014, IEEE Transactions on Biomedical Circuits and Systems.

Two-pass ℓp-regularized least-squares algorithm for compressive sensing

Sridhar Krishnan, Jeevan K. Pant, S. Krishnan, 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

Adaptive Spatial Filter Based on Similarity Indices to Preserve the Neural Information on EEG Signals during On-Line Processing

Eduardo Rocon, Sridhar Krishnan, Teodiano Freire Bastos Filho, 2017, Sensors.

Multigroup classification of audio signals using time-frequency parameters

Karthikeyan Umapathy, Sridhar Krishnan, Shihab Jimaa, 2005, IEEE Transactions on Multimedia.

Feature Extraction of Epileptic EEG using Wavelet Power Spectra and Functional PCA

Sridhar Krishnan, Shengkun Xie, S. Krishnan, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

CN Tower Lightning Current Derivative Heidler Model Analysis and Transmission

Sridhar Krishnan, Reza Sotudeh, Ali M. Hussein, 2008, 2008 Second UKSIM European Symposium on Computer Modeling and Simulation.

SUPPORTVECTOR MACHINES BASEDAPPROACH FOR CHEMICAL PHOSPHORUS REMOVAL PROCESSINWASTEWATER TREATMENT PLANT

Sridhar Krishnan, Talieh SeyedTabatabaei, Tahir Farooq, 2006 .

Supervised retinal biometrics in different lighting conditions

Mohd Zulfaezal Che Azemin, Sridhar Krishnan, Dinesh Kant Kumar, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Parametric Time-Frequency Analysis and Its Applications in Music Classification

Sridhar Krishnan, Ying Shen, Ngok-Wah Ma, 2010, EURASIP J. Adv. Signal Process..

New sampling approach for wireless ECG systems with compressed sensing theory

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2013, 2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

MODIFIED SPREAD SPECTRUM AUDIO WATERMARKING ALGORITHM

Sridhar Krishnan, Libo Zhang, Heping Ding, 2004 .

Discriminant non-stationary signal features’ clustering using hard and fuzzy cluster labeling

Sridhar Krishnan, Behnaz Ghoraani, B. Ghoraani, 2012, EURASIP Journal on Advances in Signal Processing.

Time-frequency signal feature extraction and screening of knee joint vibroarthrographic signals using the matching pursuit method

Rangaraj M. Rangayyan, Sridhar Krishnan, Cyril B. Frank, 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

Hierarchical decomposition based on a variation of empirical mode decomposition

Sridhar Krishnan, Aziz Guergachi, Muhammad Kaleem, 2017, Signal Image Video Process..

Combined just noticeable difference model guided image watermarking

Qin Zhang, Jianbo Liu, Sridhar Krishnan, 2010, 2010 IEEE International Conference on Multimedia and Expo.

Self-organization of the communication space based on user range-of-motion: a framework for configuring non-contact augmentative communication devices

Sridhar Krishnan, Tom Chau, Eric Bouffet, 2005 .

Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology

Rangaraj M. Rangayyan, Sridhar Krishnan, Cyril B. Frank, 2000, IEEE Transactions on Biomedical Engineering.

Discrimination of pathological voices using a time-frequency approach

Karthikeyan Umapathy, Sridhar Krishnan, Vijay Parsa, 2005, IEEE Transactions on Biomedical Engineering.

Deep Learning of EEG Time-Frequency Representations for Identifying Eye States

Sridhar Krishnan, Dharmendra Gurve, 2018, Adv. Data Sci. Adapt. Anal..

Towards an Effective Motor Imagery Based-BCI with Calibration Through Activation of Central and Peripheral Mechanisms of Lower-Limbs

Sridhar Krishnan, Teodiano Freire Bastos Filho, Denis Delisle Rodríguez, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A Device-Independent Efficient Actigraphy Signal-Encoding System for Applications in Monitoring Daily Human Activities and Health

Sridhar Krishnan, Yashodhan Athavale, S. Krishnan, 2018, Sensors.

Filigrane audio employant les caracteristiques temps-frequence

Kaamran Raahemifar, Sridhar Krishnan, Shahrzad Esmaili, 2003 .

Audio noise detection using hidden Markov model

Sridhar Krishnan, Mahdi Sabri, Jmad Alirezaie, 2003, IEEE Workshop on Statistical Signal Processing, 2003.

Time-Width Versus Frequency Band Mapping of Energy Distributions

Karthikeyan Umapathy, Sridhar Krishnan, S. Krishnan, 2007, IEEE Transactions on Signal Processing.

Electrophysiological Cardiac Modeling: A Review.

Karthikeyan Umapathy, Sridhar Krishnan, Mohammadali Beheshti, 2016, Critical reviews in biomedical engineering.

On the Use of Complementary Spectral Features for Speaker Recognition

Danoush Hosseinzadeh, Sridhar Krishnan, 2008, EURASIP J. Adv. Signal Process..

Discriminative base decomposition for time-frequency matrix decomposition

Sridhar Krishnan, Behnaz Ghoraani, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

An artificial-neural-network-based multiple classifier system for knee-joint vibration signal classification

Sridhar Krishnan, Meng Lu, Suxian Cai, 2011 .

Identifying the potential for failure of businesses in the technology, pharmaceutical and banking sectors using kernel-based machine learning methods

Sridhar Krishnan, Aziz Guergachi, Pouyan Hosseinizadeh, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Data embedding in /spl mu/-law speech with spread spectrum techniques

Sridhar Krishnan, Heping Ding, Libo Zhang, 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

Sparse Signal Reconstruction Using Multi-Sequential Lp Optimization

Sridhar Krishnan, Jeevan K. Pant, S. Krishnan, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

A combined just noticeable distortion model–guided image watermarking

Qin Zhang, Sridhar Krishnan, Yaqing Niu, 2010, 6th International Conference on Digital Content, Multimedia Technology and its Applications.

Illumination Invariant Face Recognition

Sridhar Krishnan, Guangyi Chen, Wen-Fang Xie, 2013, ICIC.

SVM-based classification of digital modulation signals

Alagan Anpalagan, Sridhar Krishnan, Talieh Seyed Tabatabaei, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Interference Detection in Spread Spectrum Communication Using Polynomial Phase Transform

Alagan Anpalagan, Sridhar Krishnan, Nandini Alinier, 2007, 2007 IEEE International Conference on Communications.

Analysis of communication network surveillance using functional ANOVA model with unequal variances

Sridhar Krishnan, Anna T. Lawniczak, Shengkun Xie, 2012, 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications.

Increasing the reliability of wireless body area networks based on compressed sensing theory

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2013, 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

A telehealth system framework for assessing knee-joint conditions using vibroarthrographic signals

Sridhar Krishnan, Yashodhan Athavale, S. Krishnan, 2020, Biomed. Signal Process. Control..

Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA - A Monte Carlo Simulation Study

Sridhar Krishnan, Anna T. Lawniczak, Shengkun Xie, 2013, ISNN.

Soccer Video Retrival Using Adaptive Time-Frequency Methods

Cornel Ioana, André Quinquis, Emanuel Radoi, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Non-stationary signal feature characterization using adaptive dictionaries and non-negative matrix factorization

Sridhar Krishnan, Mehrnaz Shokrollahi, 2016, Signal Image Video Process..

First-Order Difference Energy Regularization for Enhancing Reconstruction Performance in Compressive Sensing of Foot-Gait Signals

Sridhar Krishnan, Jeevan K. Pant, S. Krishnan, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust QRS detection for HRV estimation from compressively sensed ECG measurements for remote health-monitoring systems.

Sridhar Krishnan, Jeevan K Pant, 2018, Physiological measurement.

Feature identification in the time-frequency plane by using the Hough-Radon transform

Rangaraj M. Rangayyan, Sridhar Krishnan, R. Rangayyan, 2001, Pattern Recognit..

Shift-invariant discrete wavelet transform analysis for retinal image classification

April Khademi, Sridhar Krishnan, S. Krishnan, 2007, Medical & Biological Engineering & Computing.

Analysis of electrocardiogram pre-shock waveforms during ventricular fibrillation

Krishnanand Balasundaram, Kumaraswamy Nanthakumar, Karthikeyan Umapathy, 2015, Biomed. Signal Process. Control..

Adaptive filtering, modeling and classificatin of knee joint vibroarthrographic signals

Sridhar Krishnan, 1996 .

Screening and analysis of specific language impairment in young children by analyzing the textures of speech signal

Karthikeyan Umapathy, Sridhar Krishnan, Garima Sharma, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Knee Joint Vibration Signal Analysis with Matching Pursuit Decomposition and Dynamic Weighted Classifier Fusion

Sridhar Krishnan, Fang Zheng, Suxian Cai, 2013, Comput. Math. Methods Medicine.

Design and reliability study of wire-bonded μBGA®packages for high performance DRAM applications

Sridhar Krishnan, Ilyas Mohammed, Young-Gon Kim, 2001 .

Subject-specific EEG channel selection using non-negative matrix factorization for lower-limb motor imagery recognition

Sridhar Krishnan, Denis Delisle-Rodriguez, Flavia Loterio, 2020, Journal of neural engineering.

Interference excision in spread spectrum communications using adaptive positive time-frequency distributions

Sridhar Krishnan, Serhat Erküçük, 2002, ICASSP.

Patient-specific seizure detection in long-term EEG using wavelet decomposition

Sridhar Krishnan, Aziz Guergachi, Muhammad Kaleem, 2018, Biomed. Signal Process. Control..

Physiological Signal Analysis and Classification of Stress from Virtual Reality Video Game

Sridhar Krishnan, Naimul Khan, Alice Rueda, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Pathological speech signal analysis and classification using empirical mode decomposition

Sridhar Krishnan, Aziz Guergachi, Muhammad Kaleem, 2013, Medical & Biological Engineering & Computing.

Compressive sensing of foot-gait signals by enhancing group block-sparse structure on the first-order difference

Sridhar Krishnan, Jeevan K. Pant, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A New Approach for Estimation of Instantaneous Mean Frequency of a Time-Varying Signal

Sridhar Krishnan, 2005, EURASIP J. Adv. Signal Process..

Time–Frequency Matrix Feature Extraction and Classification of Environmental Audio Signals

Sridhar Krishnan, Behnaz Ghoraani, S. Krishnan, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

A low-cost approach for wide-spread screening of periodic leg movements related to sleep disorders

Sridhar Krishnan, Mark I. Boulos, Brian J. Murray, 2017, 2017 IEEE Canada International Humanitarian Technology Conference (IHTC).

Low sampling-rate approach for ECG signals with compressed sensing theory

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2013 .

Discriminative kernel learning in ambiguity domain

Karthikeyan Umapathy, Mohammadreza Balouchestani, Sridhar Krishnan, 2014, 2014 9th International Symposium on Communication Systems, Networks & Digital Sign (CSNDSP).

LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy

Chen Lin, Sridhar Krishnan, Yunfeng Wu, 2014, Neurocomputing.

Predicting refibrillation from pre-shock waveforms in optimizing cardiac resuscitation

Kumaraswamy Nanthakumar, Karthikeyan Umapathy, Stéphane Massé, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Shift-Invariant DWT for Medical Image Classification

April Khademi, Anastasios N. Venetsanopoulos, Sridhar Krishnan, 2011 .

Clustering Parkinson's and Age-Related Voice Impairment Signal Features for Unsupervised Learning

Sridhar Krishnan, Alice Rueda, S. Krishnan, 2018, Adv. Data Sci. Adapt. Anal..

Detection of linear chirp and non-linear chirp interferences in a spread spectrum signal by using Hough-Radon transform

Sridhar Krishnan, Shynimol Thayilchira, 2002, ICASSP.

Trends in Compressive Sensing for EEG Signal Processing Applications

Sridhar Krishnan, Teodiano Freire Bastos Filho, Denis Delisle Rodríguez, 2020, Sensors.

Robust Ultra-Low-Power Algorithm for Normal and Abnormal ECG Signals Based on Compressed Sensing Theory

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2013, ANT/SEIT.

Visual saliency's modulatory effect on just noticeable distortion profile and its application in image watermarking

Lin Ma, Sridhar Krishnan, Azeddine Beghdadi, 2013, Signal Process. Image Commun..

Noiseless Codelength in Wavelet Denoising

Soosan Beheshti, Sridhar Krishnan, Azadeh Fakhrzadeh, 2010, EURASIP J. Adv. Signal Process..

Sparse approximation of long-term biomedical signals for classification via dynamic PCA

Sridhar Krishnan, Feng Jin, Shengkun Xie, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Comparative analysis of the performance of the time-frequency distributions with knee joint vibroarthrographic signals

Rangaraj M. Rangayyan, Sridhar Krishnan, 1998, Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380).

Development of a Toolkit for Online Analysis of Facial Emotion

Sridhar Krishnan, Teodiano Bastos-Filho, Eliete Caldeira, 2019, XXVI Brazilian Congress on Biomedical Engineering.

Sleep EMG analysis using sparse signal representation and classification

Sridhar Krishnan, Mehrnaz Shokrollahi, S. Krishnan, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

EEG seizure detection and epilepsy diagnosis using a novel variation of Empirical Mode Decomposition

Sridhar Krishnan, Aziz Guergachi, Muhammad Kaleem, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Pathological speech signal analysis using time-frequency approaches.

Karthikeyan Umapathy, Sridhar Krishnan, Lakshmi Sugavaneswaran, 2012, Critical reviews in biomedical engineering.

Circular Projection for Pattern Recognition

Sridhar Krishnan, Guangyi Chen, Tien D. Bui, 2013, ISNN.

Region, Lesion and Border-Based Multiresolution Analysis of Mammogram Lesions

April Khademi, Anastasios N. Venetsanopoulos, Sridhar Krishnan, 2009, ICIAR.

Modified local discriminant bases algorithm and its application in analysis of human knee joint vibration signals

Karthikeyan Umapathy, Sridhar Krishnan, S. Krishnan, 2006, IEEE Transactions on Biomedical Engineering.

Time-Frequency Analysis via Ramanujan Sums

Karthikeyan Umapathy, Sridhar Krishnan, Shengkun Xie, 2012, IEEE Signal Processing Letters.

Signal classification via multi-scale PCA and empirical classification methods

Sridhar Krishnan, Shengkun Xie, 2011, Int. J. Mechatronics Autom..

Time-frequency modeling and classification of pathological voices

Sridhar Krishnan, D. G. Jamieson, Vijay Parsa, 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

Discriminative time-frequency kernels for gait analysis for amyotrophic lateral sclerosis

Karthikeyan Umapathy, Sridhar Krishnan, Lakshmi Sugavaneswaran, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic respiratory sound classification using temporal-spectral dominance

Sridhar Krishnan, Feng Jin, Farook Sattar, 2011, 2011 IEEE International Conference on Multimedia and Expo.

Telephone-quality pathological speech classification using empirical mode decomposition

Sridhar Krishnan, Aziz Guergachi, Behnaz Ghoraani, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Chirp-Based Image Watermarking as Error-Control Coding

Sridhar Krishnan, Behnaz Ghoraani, 2006, 2006 International Conference on Intelligent Information Hiding and Multimedia.

Beat-to-beat T-wave alternans detection using the Ensemble Empirical Mode Decomposition method

Sridhar Krishnan, Vijay S. Chauhan, Muhammad A. Hasan, 2016, Comput. Biol. Medicine.

Content based audio classification and retrieval using joint time-frequency analysis

Kaamran Raahemifar, Sridhar Krishnan, Shahrzad Esmaili, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Measuring the power efficiency of subthreshold FPGAs for implementing portable biomedical applications

Sridhar Krishnan, Andy Ye, Shahin Sanayei Lotfabadi, 2012, Microprocess. Microsystems.

Integrated Signal Encoding and Analysis System for Actigraphy-based Long-term Monitoring of Periodic Limb Movements in Sleep

Sridhar Krishnan, Yashodhan Athavale, Mark I. Boulos, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An adaptive classifier fusion method for analysis of knee-joint vibroarthrographic signals

Sridhar Krishnan, Yunfeng Wu, 2009, 2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications.

Audio Signal Processing Using Time-Frequency Approaches: Coding, Classification, Fingerprinting, and Watermarking

Karthikeyan Umapathy, Sridhar Krishnan, Behnaz Ghoraani, 2010, EURASIP J. Adv. Signal Process..

Chaotic time series prediction using knowledge based Green’s Kernel and least-squares support vector machines

Sridhar Krishnan, Aziz Guergachi, Tahir Farooq, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Fundamental Methods in Image Processing

April Khademi, Sridhar Krishnan, Anastasios N. Venetsanopoulos, 2017 .

Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis

Sridhar Krishnan, Shengkun Xie, 2012, Medical & Biological Engineering & Computing.

Sparse Signal Analysis Using Ramanujan Sums

Sridhar Krishnan, Weihua Liu, Guangyi Chen, 2013, ICIC.

Time-frequency filtering of interferences in spread spectrum communications

Sridhar Krishnan, Serhat Erküçük, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Robust compressive sensing algorithm for wireless surface electromyography applications

Mohammadreza Balouchestani, Sridhar Krishnan, S. Krishnan, 2015, Biomed. Signal Process. Control..

Localization of brain activities using multiway analysis of EEG tensor via EMD and reassigned TF representation

Soosan Beheshti, Sridhar Krishnan, Saeed Pouryazdian, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Real-time fetal ECG extraction from multichannel abdominal ECG using compressive sensing and ICA

Sridhar Krishnan, Dharmendra Gurve, Jeevan K. Pant, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Trends in audio signal feature extraction methods

Sridhar Krishnan, Garima Sharma, Kartikeyan Umapathy, 2020 .

Fusion of structural and functional cardiac magnetic resonance imaging data for studying Ventricular Fibrillation

Krishnanand Balasundaram, Kumaraswamy Nanthakumar, Karthikeyan Umapathy, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Comparative study of adaptive techniques for denoising CN Tower lightning current derivative signals

Sridhar Krishnan, Reza Sotudeh, Ali M. Hussein, 2010, Digit. Signal Process..

Spatiotemporal Frequency Analysis of Ventricular Fibrillation in Explanted Human Hearts

Kumaraswamy Nanthakumar, Karthikeyan Umapathy, Stéphane Massé, 2009, IEEE Transactions on Biomedical Engineering.

Signal feature extraction by multi-scale PCA and its application to respiratory sound classification

Sridhar Krishnan, Feng Jin, Shengkun Xie, 2012, Medical & Biological Engineering & Computing.

Biosignal monitoring using wearables: Observations and opportunities

Sridhar Krishnan, Yashodhan Rajiv Athavale, S. Krishnan, 2017, Biomed. Signal Process. Control..

A Wavelet-PCA-Based Fingerprinting Scheme for Peer-to-Peer Video File Sharing

Sridhar Krishnan, Ngok-Wah Ma, Xiaoli Li, 2010, IEEE Transactions on Information Forensics and Security.

Compressive Sensing of Foot Gait Signals and Its Application for the Estimation of Clinically Relevant Time Series

Sridhar Krishnan, Jeevan K. Pant, S. Krishnan, 2016, IEEE Transactions on Biomedical Engineering.

Actigraphic detection of periodic limb movements: development and validation of a potential device-independent algorithm. A proof of concept study.

Sridhar Krishnan, Yashodhan Athavale, Afsaneh Raissi, 2019, Sleep.

Adaptive signal processing techniques for analysis of knee joint vibroarthrographic signals

Sridhar Krishnan, 1999 .

Robust identification of QRS-complexes in electrocardiogram signals using a combination of interval and trigonometric threshold values

Sridhar Krishnan, Sourav Kumar Mukhopadhyay, S. Krishnan, 2020, Biomed. Signal Process. Control..

Gaussian Mixture Modeling Using Short Time Fourier Transform Features for Audio Fingerprinting

Sridhar Krishnan, Arunan Ramalingam, S. Krishnan, 2005, 2005 IEEE International Conference on Multimedia and Expo.

A variation of empirical mode decomposition with intelligent peak selection in short time windows

Sridhar Krishnan, Aziz Guergachi, Muhammad Kaleem, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Indexing of NFL video using MPEG-7 descriptors and MFCC features

Ling Guan, Sridhar Krishnan, Syed G. Quadri, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Wavelet Kernel Principal Component Analysis in Noisy Multiscale Data Classification

Sridhar Krishnan, Pietro Liò, Anna T. Lawniczak, 2012 .

A Joint Time-Frequency and Matrix Decomposition Feature Extraction Methodology for Pathological Voice Classification

Sridhar Krishnan, Behnaz Ghoraani, S. Krishnan, 2009, EURASIP J. Adv. Signal Process..

Hardware-software analysis of pole model features

Sridhar Krishnan, Andy Ye, Behnaz Ghoraani, 2011, 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE).

Robust audio watermarking using a chirp based technique

Sridhar Krishnan, Mehmet Zeytinoglu, Serhat Erküçük, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Spatio-Temporal Just Noticeable Distortion Model Guided Video Watermarking

Qin Zhang, Jianbo Liu, Sridhar Krishnan, 2009, Int. J. Digit. Crime Forensics.

Watermarking and Fingerprinting Techniques for Multimedia Protection

Sridhar Krishnan, Yaqing Niu, Qin Zhang, 2017 .

Basic Science for the Clinical Electrophysiologist Phase Mapping of Cardiac Fibrillation

Stephane Masse, Kumaraswamy Nanthakumar, Karthikeyan Umapathy, 2010 .

A new approach for SSVEP detection using PARAFAC and canonical correlation analysis

Soosan Beheshti, Sridhar Krishnan, Teodiano Freire Bastos Filho, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A 65nm C64x+ Multi-Core DSP Platform for Communications Infrastructure

Rajasekhar Velamuri, Sridhar Krishnan, Anand Rajaram, 2007, 2007 IEEE International Solid-State Circuits Conference. Digest of Technical Papers.

Towards robust speech-based emotion recognition

Sridhar Krishnan, Talieh Seyed Tabatabaei, S. Krishnan, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

An Evaluation of Performance for an Independent SSVEP-BCI Based on Compressive Sensing System

Sridhar Krishnan, Richard M. G. Tello, Teodiano Bastos-Filho, 2015 .

Feature Extraction by Multi-Scale Principal Component Analysis and Classification in Spectral Domain

Sridhar Krishnan, Pietro Liò, Shengkun Xie, 2013 .

A high reliability detection algorithm for wireless ECG systems based on compressed sensing theory

Mohammadreza Balouchestani, Sridhar Krishnan, Kaainran Raahemifar, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Compact and robust video fingerprinting using sparse represented features

Nan Zhang, Sridhar Krishnan, Li Su, 2016, 2016 IEEE International Conference on Multimedia and Expo (ICME).

Spatio-Temporal Just Noticeable Distortion Model Guided Video Watermarking

Qin Zhang, Sridhar Krishnan, Yaqing Niu, 2010, Int. J. Digit. Crime Forensics.

Time-Frequency Analysis and Its Applications to Multimedia Signals

Sridhar Krishnan, Yimin Zhang, Bijan Mobasseri, 2011 .

Trends in biomedical signal feature extraction

Sridhar Krishnan, Yashodhan Athavale, S. Krishnan, 2018, Biomed. Signal Process. Control..

Recursive least-squares lattice-based adaptive segmentation and autoregressive modeling of knee joint vibroarthrographic signals

Sridhar Krishnan, Rangaraj M. Rangayyan, Cyril B. Frank, 1996, Proceedings of 1996 Canadian Conference on Electrical and Computer Engineering.

Time-Frequency Analysis of Digital Audio Watermarking

Sridhar Krishnan, Behnaz Ghoraani, 2008 .

Wireless ECG systems with New Sampling-rate Approach Based on Compressed Sensing Theory

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2013 .

Combining Vocal Source and MFCC Features for Enhanced Speaker Recognition Performance Using GMMs

Danoush Hosseinzadeh, Sridhar Krishnan, 2007, 2007 IEEE 9th Workshop on Multimedia Signal Processing.

NITINOL 형상기억합금의 열적/기계적 특성 평가

Sridhar Krishnan, Scott R. White, 윤성호, 2001 .

Effective Dysphonia Detection Using Feature Dimension Reduction and Kernel Density Estimation for Patients with Parkinson’s Disease

Sridhar Krishnan, Xin Luo, Fang Zheng, 2014, PloS one.

Noise distribution and denoising of current density images

Kumaraswamy Nanthakumar, Karthikeyan Umapathy, Sridhar Krishnan, 2015, Journal of medical imaging.

System based on subject-specific bands to recognize pedaling motor imagery: towards a BCI for lower-limb rehabilitation

Sridhar Krishnan, Denis Delisle-Rodriguez, Flavia Loterio, 2019, Journal of neural engineering.

Robust Wireless Sensor Networks with Compressed Sensing Theory

Kaamran Raahemifar, Mohammadreza Balouchestani, Sridhar Krishnan, 2012, NDT.

Towards a low-cost point-of-care screening platform for electronic auscultation of vital body sounds

Sridhar Krishnan, Yashodhan Athavale, Saad Ahmed, 2017, 2017 IEEE Canada International Humanitarian Technology Conference (IHTC).

Fast clustering algorithm for large ECG data sets based on CS theory in combination with PCA and K-NN methods

Mohammadreza Balouchestani, Sridhar Krishnan, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Sparse principal component extraction and classification of long-term biomedical signals

Sridhar Krishnan, Anna T. Lawniczak, Shengkun Xie, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

Automatic Content-Based Image Retrieval Using Hierarchical Clustering Algorithms

Ling Guan, Sridhar Krishnan, Kambiz Jarrah, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Sonification of knee-joint vibration signals

Sridhar Krishnan, Rangaraj M. Rangayyan, Cyril B. Frank, 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

Patient-specific seizure detection in long-term EEG using signal-derived empirical mode decomposition (EMD)-based dictionary approach

Sridhar Krishnan, Aziz Guergachi, Dharmendra Gurve, 2018, Journal of neural engineering.

Audio signal feature extraction and classification using local discriminant bases

Sridhar Krishnan, R. K. Rao, K. Umapathy, 2004 .

Motor Imagery Classification with Covariance Matrices and Non-Negative Matrix Factorization

Sridhar Krishnan, Teodiano Freire Bastos Filho, Denis Delisle Rodríguez, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Model Based Sparse Feature Extraction for Biomedical Signal Classification

Sridhar Krishnan, Shengkun Xie, S. Krishnan, 2017 .

Support Vector Machines Based Approach for Chemical Phosphorus Removal Process in Wastewater Treatment Plant

Sridhar Krishnan, Aziz Guergachi, Talieh Seyed Tabatabaei, 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

Shoulder Flexion Pre-Movement Recognition Through Subject-Specific Brain Regions to Command an Upper Limb Exoskeleton

Sridhar Krishnan, Teodiano Freire Bastos Filho, Yunier Prieur-Coloma, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Separation of Fetal-ECG From Single-Channel Abdominal ECG Using Activation Scaled Non-Negative Matrix Factorization

Sridhar Krishnan, Dharmendra Gurve, S. Krishnan, 2020, IEEE Journal of Biomedical and Health Informatics.

Adventitious Sounds Identification and Extraction Using Temporal–Spectral Dominance-Based Features

Sridhar Krishnan, Feng Jin, Farook Sattar, 2011, IEEE Transactions on Biomedical Engineering.

Characterization of fractionated electrograms using a novel time-frequency based algorithm

Sridhar Krishnan, Vijay S. Chauhan, Behnaz Ghoraani, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Emotion Recognition Using Novel Speech Signal Features

Sridhar Krishnan, Aziz Guergachi, Talieh Seyed Tabatabaei, 2007, 2007 IEEE International Symposium on Circuits and Systems.

A general perceptual tool for evaluation of audio codecs

Karthikeyan Umapathy, Sridhar Krishnan, Garabet Sinanian, 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).

Computer-aided analysis of gait rhythm fluctuations in amyotrophic lateral sclerosis

Sridhar Krishnan, Yunfeng Wu, Yunfeng Wu, 2009, Medical & Biological Engineering & Computing.

Learning sparse dictionary for long-term biomedical signal classification and clustering

Sridhar Krishnan, Shengkun Xie, S. Krishnan, 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

Discrete Polynomial Transform for Digital Imagewatermarking Application

Sridhar Krishnan, Behnaz Ghoraani, Lam Le, 2006, 2006 IEEE International Conference on Multimedia and Expo.

An audio watermarking method based on molecular matching pursuit

Cornel Ioana, Sridhar Krishnan, Mathieu Parvaix, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Audio scene analysis using parametric signal features

Sridhar Krishnan, Andy Ye, Behnaz Ghoraani, 2011, 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE).

T wave alternans evaluation using adaptive time-frequency signal analysis and non-negative matrix factorization.

Sridhar Krishnan, Behnaz Ghoraani, Raja J Selvaraj, 2011, Medical engineering & physics.

Interference Excision in Spread Spectrum Communications Using Adaptive Positive Time-Frequency Analysis

Sridhar Krishnan, Serhat Erküçük, S. Krishnan, 2007, EURASIP J. Wirel. Commun. Netw..

Feature analysis of pathological speech signals using local discriminant bases technique

Karthikeyan Umapathy, Sridhar Krishnan, 2006, Medical and Biological Engineering and Computing.

Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion pdf

Sridhar Krishnan, Muhammad Rehman Zafar, Syem Ishaque, 2021, ArXiv.

Clustering and Feature Analysis of Smartphone Data for Depression Monitoring

Sridhar Krishnan, Binh Nguyen, Sharadha Kolappan, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Audio texture and age-wise analysis of disordered speech in children having specific language impairment

Karthikeyan Umapathy, Sridhar Krishnan, Xiao-Ping Zhang, 2021, Biomed. Signal Process. Control..

Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach

Sridhar Krishnan, Aziz Guergachi, Muhammad Kaleem, 2021, Frontiers in Digital Health.

Trends in human activity recognition with focus on machine learning and power requirements

Sridhar Krishnan, Teodiano Bastos, Binh Nguyen, 2021 .

ECG Dry-electrode 3D Printing and Signal Quality Considerations

Sridhar Krishnan, Abdelrahman Abdou, S. Krishnan, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

SARdB: A dataset for audio scene source counting and analysis

Sridhar Krishnan, Michael Nigro, 2021, Applied Acoustics.

Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia

Elmar Nöth, Sridhar Krishnan, Alice Rueda, 2022, Comput. Speech Lang..

Grad-CAM-Based Classification of Chest X-Ray Images of Pneumonia Patients

Sridhar Krishnan, Pranav Kumar Seerala, 2021 .

Visual saliency detection approach for long-term ECG analysis

Sridhar Krishnan, Sourav Kumar Mukhopadhyay, S. Krishnan, 2021, Comput. Methods Programs Biomed..

Computer-assisted method for quantifying sleep eye movements that reflects medication effects

Sridhar Krishnan, Kristiina M. Valter McConville, Mark I. Boulos, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Phase Mapping of Cardiac Fibrillation

Kumaraswamy Nanthakumar, Karthikeyan Umapathy, Sridhar Krishnan, 2010, Circulation. Arrhythmia and electrophysiology.

Transfer Function Estimation of the Right Ventricle of Canine Heart

Kumaraswamy Nanthakumar, Sridhar Krishnan, Elnaz Shokrollahi, 2009 .

Application of grammar-based codes for lossless compression of digital mammograms

Sridhar Krishnan, Ngok-Wah Ma, S. Krishnan, 2006, J. Electronic Imaging.

Automated detection of nocturnal slow eye movements modulated by selective serotonin reuptake inhibitors

Karthikeyan Umapathy, Sridhar Krishnan, Mark I. Boulos, 2011, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

A Low-Cost Lower-Limb Brain-Machine Interface Triggered by Pedaling Motor Imagery for Post-Stroke Patients Rehabilitation

Sridhar Krishnan, Denis Delisle-Rodriguez, Flavia Loterio, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Instantaneous mean frequency estimation using adaptive time-frequency distributions

Sridhar Krishnan, 2001, Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555).

Analysis of the electromyogram of rapid eye movement sleep using wavelet techniques

Sridhar Krishnan, Mehrnaz Shokrollahi, S. Krishnan, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Parametric Analysis of Ultrasound Backscatter Signals for Monitoring Cancer Cell Structural Changes During Cancer Treatment

Sridhar Krishnan, Michael C. Kolios, Harshitha Nallapareddy, 2007 .

Detection of chirp and other components in the time-frequency plane using the Hough and Radon transforms

Rangaraj M. Rangayyan, Sridhar Krishnan, 1997, 1997 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM. 10 Years Networking the Pacific Rim, 1987-1997.

Ramanujan sums-wavelet transform for signal analysis

Sridhar Krishnan, Guangyi Chen, Wenfang Xie, 2013, 2013 International Conference on Wavelet Analysis and Pattern Recognition.

712 Correlating Current Pathways With Myocardial Fiber Orientation Through Fusion of Data From Current Density and Diffusion Tensor Imaging

Sridhar Krishnan, E. Sevaptsidis, David A. Jaffray, 2012 .

A Review of Sleep Disorder Diagnosis by Electromyogram Signal Analysis.

Sridhar Krishnan, Mehrnaz Shokrollahi, S. Krishnan, 2015, Critical reviews in biomedical engineering.

Classification of periodic leg movements through actigraphy signal analysis

Sridhar Krishnan, Yashodhan Athavale, Mark I. Boulos, 2016 .

Detection of nonlinear frequency-modulated components in the time-frequency plane using an array of accumulators

Rangaraj M. Rangayyan, Sridhar Krishnan, R. Rangayyan, 1998, Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380).

Pattern Classification of Signals Using Fisher Kernels

Sridhar Krishnan, Yashodhan Athavale, Aziz Guergachi, 2012 .