Rajesh Narasimha

发表

Discrete-time scale invariant systems: Relation to long-range dependence and farima models

Raghuveer M. Rao, Seungsin Lee, Rajesh Narasimha, 2002, ICASSP.

Method for enhancing low quality depth maps for 3D reconstruction on a embedded platform

Rajesh Narasimha, Karthik Raghuram, Jesse Villarreal, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Further results on self-similar network traffic modeling with scale-invariant systems

Raghuveer M. Rao, Seungsin Lee, Rajesh Narasimha, 2001, SPIE Defense + Commercial Sensing.

A neural network approach to key frame extraction

Andreas E. Savakis, Ricardo L. de Queiroz, Raghuveer M. Rao, 2003, IS&T/SPIE Electronic Imaging.

Challenges in Embedded Vision for Augmented Reality

Rajesh Narasimha, Peter Meier, Markus Tremmel, 2014 .

1/f noise modeling using discrete-time self-similar systems

Raghuveer M. Rao, P. R. Mukund, Ponnathpur R. Mukund, 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..

GIGABYTESTO BYTES:AUTOMATED DENOISINGAND FEATUREEXTRACTIONASAPPLIED TO THE ANALYSISOF HIVARCHITECTURE AND VARIABILITYUSINGELECTRON TOMOGRAPHY

Rajesh Narasimha, Daniel Zabransky, Rachid SougratSteven McLaughlin, 2007 .

Characterization of self-similarity properties of discrete-time linear scale-invariant systems

Raghuveer M. Rao, Seungsin Lee, Rajesh Narasimha, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Estimation of parameters of input traffic streams from statistically multiplexed output

Raghuveer M. Rao, Sohail A. Dianat, Rajesh Narasimha, 2006, 2006 14th European Signal Processing Conference.

Discrete-time models for statistically self-similar signals

Wei Zhao, Raghuveer M. Rao, Seungsin Lee, 2003, IEEE Trans. Signal Process..

FROM GIGABYTES TO BYTES: AUTOMATED DENOISING AND FEATURE IDENTIFICATION IN ELECTRON TOMOGRAMS OF INTACT BACTERIAL CELLS

Guillermo Sapiro, Sriram Subramaniam, Steven W. McLaughlin, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Application of Information Theory and Learning to Network and Biological Tomography

Rajesh Narasimha, R. Narasimha, 2007 .

Gigabytes to Bytes: Automated Denoising and Feature Extraction as Applied to the Analysis of HIV Architecture and Variability using Electron Tomography

Sriram Subramaniam, Steven W. McLaughlin, Rajesh Narasimha, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Scalable Frame to Block Based Automatic Converter for Efficient Embedded Vision Processing

B. H. Pawan Prasad, Rajesh Narasimha, Senthil Kumar Yogamani, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Models for discrete-time self-similar vector processes with application to network traffic

Raghuveer M. Rao, Seungsin Lee, Rajesh Narasimha, 2003, SPIE Defense + Commercial Sensing.

Example-based brightness and contrast enhancement

Aziz Umit Batur, Rajesh Narasimha, R. Narasimha, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Automatic joint classification and segmentation of whole cell 3D images

Alexander G. Gray, Hua Ouyang, Sriram Subramaniam, 2009, Pattern Recognit..

A real-time high dynamic range HD video camera

Aziz Umit Batur, Rajesh Narasimha, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Modeling variable-bit-rate video traffic using linear scale-invariant systems

Raghuveer M. Rao, Rajesh Narasimha, 2002, SPIE Defense + Commercial Sensing.

Trends in Signal Processing Applications and Industry Technology [In the Spotlight]

Fa-Long Luo, Raghuveer M. Rao, Rajesh Narasimha, 2012, IEEE Signal Process. Mag..

1/f noise synthesis model in discrete-time for circuit simulation

Raghuveer M. Rao, P. R. Mukund, Ponnathpur R. Mukund, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

Estimating degree of mixing in statistically multiplexed data

Raghuveer M. Rao, Sohail A. Dianat, Rajesh Narasimha, 2006, SPIE Defense + Commercial Sensing.

Blind adaptive decision feedback multiuser detector for DS-CDMA with power estimation

Sohail A. Dianat, Rajesh Narasimha, 2002, Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367).

Low complexity orientation detection algorithm for real-time implementation

Vikram V. Appia, Rajesh Narasimha, 2011, Electronic Imaging.

A Scalable Probing-based Approach for Congestion Detection using Message Passing

Chuanyi Ji, Steven W. McLaughlin, Rajesh Narasimha, 2006, 2006 IEEE International Conference on Communications.

Modeling variable bit rate video on wired and wireless networks using discrete-time self-similar systems

Rajesh Narasimha, Reena Rao, 2002, 2002 IEEE International Conference on Personal Wireless Communications.

Variable bit rate video time-series and scene modeling using discrete-time statistically self-similar systems

Rajesh Narasimha, R. Narasimha, 2002 .

Scalable diagnosis in IP networks using path-based measurement and inference: A learning framework

Chuanyi Ji, Steven W. McLaughlin, Rajesh Narasimha, 2010, J. Vis. Commun. Image Represent..

Application of discrete-time scale invariant systems in video traffic modeling

Raghuveer M. Rao, Rajesh Narasimha, 2002, SPIE ITCom.

Scalable Fault Diagnosis in IP Networks using Graphical Models: A Variational Inference Approach

Chuanyi Ji, Steven W. McLaughlin, Rajesh Narasimha, 2007, 2007 IEEE International Conference on Communications.

Special issue on breakthrough architectures for image and video systems

David D. Wentzloff, Madhukar Budagavi, Seok-Jun Lee, 2010, Signal Process. Image Commun..

Network Security for Client-Server Architecture Using Wiretap Codes

Matthieu R. Bloch, Steven W. McLaughlin, Rajesh Narasimha, 2008, IEEE Transactions on Information Forensics and Security.