Manohar N. Murthi

发表

On quantizer design for Distributed Source Coding of Gaussian vector data with packet loss

Shaminda Subasingha, Manohar N. Murthi, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

iLBC - a linear predictive coder with robustness to packet losses

Jan Skoglund, Manohar N. Murthi, Søren Vang Andersen, 2002, Speech Coding, 2002, IEEE Workshop Proceedings..

Focal elements generated by the Dempster-Shafer theoretic conditionals: A complete characterization

Kamal Premaratne, Manohar N. Murthi, Thanuka Wickramarathne, 2010, 2010 13th International Conference on Information Fusion.

Gaussian Mixture Kalman Predictive Coding of Line Spectral Frequencies

Shaminda Subasingha, Manohar N. Murthi, Søren Vang Andersen, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Transmission Rate Allocation in Multisensor Target Tracking Over a Shared Network

Kamal Premaratne, Manohar N. Murthi, M. Chamara Ranasingha, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Reasoning With Interval-Valued Probabilities

Kamal Premaratne, Manohar N. Murthi, Janith Heendeni, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Optimized unequal error protection for voice over IP

Manohar N. Murthi, Mingyu Chen, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Efficient Computation of Belief Theoretic Conditionals

Dilip Sarkar, Kamal Premaratne, Manohar N. Murthi, 2017, ISIPTA.

Linear Time and Space Algorithm for Computing all the Fagin-Halpern Conditional Beliefs Generated From Consonant Belief Functions

Kamal Premaratne, Manohar N. Murthi, Lalintha G. Polpitiya, 2019, FLAIRS Conference.

Hidden Markov model-based packet loss concealment for voice over IP

Søren Holdt Jensen, Manohar N. Murthi, Søren Vang Andersen, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Analysis of Wyner-Ziv quantizers for packet loss

Shaminda Subasingha, Manohar N. Murthi, 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

A Dempster-Shafer theoretic conditional approach to evidence updating for fusion of hard and soft data

Matthias Scheutz, Jinsong Zhang, Kamal Premaratne, 2009, 2009 12th International Conference on Information Fusion.

Achieving Consensus Under Bounded Confidence in Multi-Agent Distributed Decision-Making

Kamal Premaratne, Manohar N. Murthi, Thanuka L. Wickramarathne, 2019, 2019 22th International Conference on Information Fusion (FUSION).

On GMM Kalman predictive coding of LSFS for packet loss

Shaminda Subasingha, Manohar N. Murthi, Søren Vang Andersen, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Normalized queueing delay: congestion control jointly utilizing delay and marking

Kamal Premaratne, Manohar N. Murthi, Mingyu Chen, 2009, TNET.

Modelling and Fusion of Imperfect Implication Rules

Matthias Scheutz, Kamal Premaratne, Manohar N. Murthi, 2014, Belief Functions.

Delay-based TCP congestion avoidance: A network calculus interpretation and performance improvements

Jinsong Zhang, Kamal Premaratne, Manohar N. Murthi, 2009, Comput. Networks.

All-pole modeling of speech based on the minimum variance distortionless response spectrum

Bhaskar D. Rao, Manohar N. Murthi, B. Rao, 2000, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

Regenerative cooperative diversity with path selection and equal power consumption in wireless networks

Jing Liu, Xiaodong Cai, Manohar N. Murthi, 2009, IEEE Transactions on Wireless Communications.

Minimum variance distortionless response (MVDR) modeling of voiced speech

Bhaskar D. Rao, Manohar N. Murthi, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Normalized Queueing Delay: Congestion Control Jointly Utilizing Delay and Marking

Kamal Premaratne, Manohar N. Murthi, Mingyu Chen, 2009, IEEE/ACM Transactions on Networking.

Mobile adaptive networks for pursuing multiple targets

Kamal Premaratne, Manohar N. Murthi, May Zar Lin, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Proceedings of the 17th European Signal Processing Conference (EUSIPCO-2009)

Thomas Arildsen, Søren Holdt Jensen, Manohar N. Murthi, 2009 .

Stable 1-Norm Error Minimization Based Linear Predictors for Speech Modeling

Marc Moonen, Søren Holdt Jensen, Mads Græsbøll Christensen, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

MVDR based all-pole models for spectral coding of speech

Bhaskar D. Rao, Manohar N. Murthi, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Uncertain Logic Processing: logic-based inference and reasoning using Dempster-Shafer models

Matthias Scheutz, Kamal Premaratne, Manohar N. Murthi, 2018, Int. J. Approx. Reason..

Regularized LMS and diffusion adaptation LMS with graph filters for non-stationary data

Kamal Premaratne, Manohar N. Murthi, May Zar Lin, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Hard and soft data fusion for joint tracking and classification/intent-detection

Kamal Premaratne, Manohar N. Murthi, Rafael C. Nunez, 2013, Proceedings of the 16th International Conference on Information Fusion.

On Variable Rate Frame Independent Predictive Speech Coding: Re-Engineering ILBC

Manohar N. Murthi, Søren Vang Andersen, Christopher M. Garrido, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Transmission rate allocation in multi-sensor target tracking

Kamal Premaratne, Manohar N. Murthi, M. Chamara Ranasingha, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Spectral Envelope Estimation and Regularization

W. Bastiaan Kleijn, Manohar N. Murthi, L. Anders Ekman, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Convergence Analysis of Iterated Belief Revision in Complex Fusion Environments

Nitesh V. Chawla, Kamal Premaratne, Manohar N. Murthi, 2014, IEEE Journal of Selected Topics in Signal Processing.

TCP congestion avoidance: a network calculus interpretation and performance improvements

Jinsong Zhang, Kamal Premaratne, Manohar N. Murthi, 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

Packet Loss Concealment with Natural Variations using HMM

Søren Holdt Jensen, Manohar N. Murthi, Søren Vang Andersen, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Revisiting the Linear Prediction Analysis-by-Synthesis Speech Coding Paradigm Using Real-Time Convex Optimization

Mads Græsbøll Christensen, Daniele Giacobello, Manohar N. Murthi, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Belief theoretic methods for soft and hard data fusion

Matthias Scheutz, Sandra Kübler, Kamal Premaratne, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Inferring latent states in a network influenced by neighbor activities: An undirected generative approach

Kamal Premaratne, Manohar N. Murthi, Buddhika L. Samarakoon, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On Predictive Coding for Erasure Channels Using a Kalman Framework

Thomas Arildsen, Søren Holdt Jensen, Manohar N. Murthi, 2009, IEEE Transactions on Signal Processing.

Retrieving Sparse Patterns Using a Compressed Sensing Framework: Applications to Speech Coding Based on Sparse Linear Prediction

Marc Moonen, Søren Holdt Jensen, Mads Græsbøll Christensen, 2010, IEEE Signal Processing Letters.

DS-based uncertain implication rules for inference and fusion applications

Matthias Scheutz, Gordon Briggs, Ranga Dabarera, 2013, Proceedings of the 16th International Conference on Information Fusion.

Towards iLBC speech coding at lower rates through a new formulation of the start state search

Manohar N. Murthi, Søren Vang Andersen, Christopher M. Garrido, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Evaluation of MFCC estimation techniques for music similarity

Søren Holdt Jensen, Mads Græsbøll Christensen, Manohar N. Murthi, 2006, 2006 14th European Signal Processing Conference.

A Framework for efficient computation of belief theoretic operations

Dilip Sarkar, Kamal Premaratne, Manohar N. Murthi, 2016, 2016 19th International Conference on Information Fusion (FUSION).

CAM04-2: A Congestion Control Method Jointly Utilizing Delay and Marking/Loss Feedback

Kamal Premaratne, Manohar N. Murthi, Mingyu Chen, 2006, IEEE Globecom 2006.

On packet loss concealment artifacts and their implications for packet labeling in voice over IP

Manohar N. Murthi, Søren Vang Andersen, Steffen Præstholm, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

Sparse Linear Prediction and Its Applications to Speech Processing

Marc Moonen, Søren Holdt Jensen, Mads Græsbøll Christensen, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

A Dempster-Shafer Theoretic Approach to Understanding Indirect Speech Acts

Matthias Scheutz, Gordon Briggs, Kamal Premaratne, 2014, IBERAMIA.

Network Resource Allocation for Perceptually Based Unequal Packet Protection in Voice Communication

Manohar N. Murthi, Søren Vang Andersen, Steffen Præstholm, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Regularized Linear Prediction of Speech

W. Bastiaan Kleijn, Manohar N. Murthi, L. Anders Ekman, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

Speech coding based on sparse linear prediction

Marc Moonen, Søren Holdt Jensen, Mads Græsbøll Christensen, 2009, 2009 17th European Signal Processing Conference.

Efficient sensor selection with application to time varying graphs

Kamal Premaratne, Manohar N. Murthi, Buddhika L. Samarakoon, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Proceedings of 33rd IEEE International Conference on Acoustics, Speech and Signal Processing

Shaminda Subasingha, Manohar N. Murthi, Søren Vang Andersen, 2008, ICASSP 2008.

Monte-Carlo approximations for Dempster-Shafer belief theoretic algorithms

Kamal Premaratne, Manohar N. Murthi, Thanuka Wickramarathne, 2011, 14th International Conference on Information Fusion.

A distributed congestion and power control algorithm to achieve bounded average queuing delay in wireless networks

Kamal Premaratne, Manohar N. Murthi, Xingzhe Fan, 2010, Telecommun. Syst..

Dynamics of belief theoretic agent opinions under bounded confidence

Ranga Dabarera, Kamal Premaratne, Manohar N. Murthi, 2014, 17th International Conference on Information Fusion (FUSION).

Consensus in the Presence of Multiple Opinion Leaders: Effect of Bounded Confidence

Dilip Sarkar, Ranga Dabarera, Kamal Premaratne, 2016, IEEE Transactions on Signal and Information Processing over Networks.

Efficient computation of DS-based uncertain logic operations and its application to hard and soft data fusion

Kamal Premaratne, Manohar N. Murthi, Rafael C. Nunez, 2014, 17th International Conference on Information Fusion (FUSION).

Hidden Markov Model Based Packet Loss Concealment for VoIP

Søren Holdt Jensen, Manohar N. Murthi, Søren Vang Andersen, 2004 .

A generalization of Bayesian inference in the Dempster-Shafer belief theoretic framework

Matthias Scheutz, Kamal Premaratne, Manohar N. Murthi, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Enhancing sparsity in linear prediction of speech by iteratively reweighted 1-norm minimization

Marc Moonen, Søren Holdt Jensen, Mads Græsbøll Christensen, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Toward Efficient Computation of the Dempster–Shafer Belief Theoretic Conditionals

Kamal Premaratne, Manohar N. Murthi, Thanuka Wickramarathne, 2013, IEEE Transactions on Cybernetics.

Fixed-Lag Smoothing for Low-Delay Predictive Coding with Noise Shaping for Lossy Networks

Thomas Arildsen, Søren Holdt Jensen, Jan Østergaard, 2010, 2010 Data Compression Conference.

Target tracking based network Active Queue Management

Manohar N. Murthi, Shane F. Cotter, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Convergence analysis of consensus belief functions within asynchronous ad-hoc fusion networks

Kamal Premaratne, Manohar N. Murthi, Thanuka Wickramarathne, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Towards a synergistic multistage speech coder

Bhaskar D. Rao, Manohar N. Murthi, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Estimation of frame independent and enhancement components for speech communication over packet networks

Marc Moonen, Søren Holdt Jensen, Mads Græsbøll Christensen, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Balancing Power and Rate to Achieve Bounded Average Delay in Wireless Networks

Kamal Premaratne, Manohar N. Murthi, Xingzhe Fan, 2007, MILCOM 2007 - IEEE Military Communications Conference.

Gaussian Mixture Kalman predictive coding of LSFS

Shaminda Subasingha, Manohar N. Murthi, Søren Vang Andersen, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Consensus-Based Credibility Estimation of Soft Evidence for Robust Data Fusion

Kamal Premaratne, Manohar N. Murthi, Thanuka Wickramarathne, 2012, Belief Functions.

Dataset for: Do Conspiracy Beliefs form a Belief System? Examining the Structure and Organization of Conspiracy Beliefs

Kamal Premaratne, Manohar N. Murthi, Caleb Everett, 2021 .

Toward Efficient Computation of the

Kamal Premaratne, Manohar N. Murthi, Thanuka L. Wickramarathne, 2013 .

Quantization for classification accuracy in high-rate quantizers

Manohar N. Murthi, Behzad Mohammadi Dogahe, 2011, 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE).

A Kalman filtering approach to GMM predictive coding of LSFS for packet loss conditions

Shaminda Subasingha, Manohar N. Murthi, Søren Vang Andersen, 2009, 2009 16th International Conference on Digital Signal Processing.