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Mrityunjoy Chakraborty


Mrityunjoy Chakraborty obtained Bachelor of Engg. from Jadavpur University, Calcutta, Master of Technology from IIT, Kanpur, and Ph.D. from IIT, Delhi. He joined IIT, Kharagpur as a faculty member in 1994, where he currently holds the position of a professor in Electronics and Electrical Communication Engg. The teaching and research interests of Prof. Chakraborty are in Digital and Adaptive Signal Processing, VLSI Signal Processing, Linear Algebra, and Compressive Sensing. In these areas, Prof. Chakraborty has supervised several graduate theses, carried out independent research and has several well-cited publications. Prof. Chakraborty is currently a senior editorial board member of the IEEE Signal Processing Magazine and also of the IEEE Journal of Emerging Techniques in Circuits and Systems. Earlier, he had been an Associate Editor of the IEEE Transactions on Circuits and Systems, part I (2004-2007, 2010-2012) and part II (2008-2009), apart from being an elected member (also currently the chair) of the DSP Technical Committee (TC) of the IEEE Circuits and Systems Society, a guest editor of the EURASIP JASP (special issue), track co-chair (DSP track) of ISCAS 2015 & 2016, Gabor track chair of DSP-15, and a TPC member of ISCAS (2011-2014), ICC (2007-2011) and Globecom (2008-2011). Prof. Chakraborty is a co-founder of the Asia Pacific Signal and Information Processing Association (APSIPA), is currently a member of the APSIPA BOG and also, served as the chair of the APSIPA TC on Signal and Information Processing Theory and Methods (SIPTM). He has also been the general chair and also the TPC chair of the National Conference on Communications – 2012. Prof. Chakraborty is a fellow of the National Academy of Science, India, and also of the Indian National Academy of Engineering (INAE). During 2012-2013, he was selected as a distinguished lecturer of the APSIPA.

Research Statement

The research interests of Prof. Chakraborty include Digital and Adaptive Signal Processing, VLSI Signal Processing, Compressive Sensing, Applied Linear Algebra and DSP applications to communications, speech and audio processing.  The major contributions made by him in these are as follows :

  1. A. He has been the first to show how the block floating point (BFP) data format which provides floating-point like high dynamic range at fixed-point like low complexity, can be used for realizing adaptive filters. This is a major breakthrough, as, before this, the usage of BFP was limited only to fixed coefficient filters.

    B. He made a seminal theoretical contribution by showing that for multi-tonal signals, the filter weights in LMS-based adaptive filters can actually converge to their optimal values absolutely and not just in mean unlike for general signals.

    C. In compressive sensing (CS), he developed new upper bound relations for convergence of the generalized orthogonal matching pursuit.  Recently, he has determined iteration bounds for convergence of two important CS recovery algorithms, namely, CoSaMP and subspace pursuit.

    D. He has been the first to introduce CORDIC and also canonic-signed-digit format to reduce multiplicative complexities substantially in adaptive filters.

    E. His latest contributions include the development of novel sparse adaptive filters based on the convex combination and L1 norm regularization principles.

Apart from the above, his other contributions include the development of novel adaptive filters for estimating and tracking the delay of sinusoids for applications in radar and sonar, pipelined architectures for adaptive decision feedback equalizers, new algorithms for multichannel ARMA modeling and filtering, and fast algorithms for cyclostationary processes.


  • 1 Digital Signal Processing
  • 2 Adaptive Signal Processing
  • 3 VLSI Signal Processing
  • 4 Compressed Sensing
  • 5 Applied Linear Algebra


  • Mukhopadhyay S., Satpathi S. , Chakraborty M., A Low Complexity Orthogonal Least Squares Algorithm for Sparse Signal Recovery, SPCOM-2018, 2018
  • Gogineni V. C., Chakraborty M., Diffusion Affine Projection Algorithm for Multitask Networks, APSIPA ASC 2018, 2018
  • Gogineni V. C., Das B. K., Chakraborty M., An Adaptive Convex Combination of APA and ZA-APA for Identifying Systems having Variable Sparsity and Correlated Input, Digital Signal Processing, 118-132, 2018
  • Satpathi S., Chakraborty M., On the Number of Iterations for Convergence of CoSaMP and Subspace Pursuit Algorithms, Journal of Applied and Computational Harmonic Analysis, 43, 568-576, 2017
  • Das B. K., Chakraborty M., A New Diffusion Sparse RLS Algorithm with Improved Convergence Characteristics, International Symposium on Circuits and Systems (ISCAS) - 2016, 2016
  • Das B. K., Chakraborty M. , Garcia J. A. IEEE Transactions on Circuits and Systems, Part II, Sparse Distributed Estimation via Heterogeneous Diffusion Adaptive Networks, IEEE Transactions on Circuits and Systems, Part II, 63, 1079-1083, 2016
  • Das B. K., Ruiz L. A., Chakraborty M. , Garcia J. A, On Steady State Tracking Performance of Adaptive Networks, DSP-15, 2015
  • Nuthakki S. S., Chattopadhyay S. , Chakraborty M., Test set customization for improved fault diagnosis without sacrificing coverage, ISCAS, 1574-1577, 2015
  • Das R. L., Chakraborty M., On Convergence of Proportionate-Type Normalized Least Mean Square Algorithms, IEEE Transactions on Circuits and Systems, Part II, 62, 491-495, 2015
  • Das B. K., Chakraborty M, Sparse Adaptive Filtering by an Adaptive Convex Combination of the LMS and the ZA-LMS Algorithms, IEEE Transactions on Circuits and Systems, Part I, 1499-1507, 2014
  • Das R. L., Chakraborty M, Sparse Adaptive Filtering by Iterative Hard Thresholding, APSIPA ASC 2013, 2013
  • Satpathi S., Das R. L., Chakraborty M, Improving the Bound on the RIP Constant in Generalized Orthogonal Matching Pursuit, IEEE Signal Processing Letters, 1074-1077, 2013
  • Choudhary S., Mukherjee P. , Chakraborty M. , Rath S. S, A SPT Treatment to the Realization of the Sign-LMS based Adaptive Filters, IEEE Transactions on Circuits and Systems, Part I, 2025-2033, 2012
  • B. K., Chakraborty M., Gradient Comparator Least Mean Square Algorithm for Identification of Sparse Systems with Variable Sparsity, APSIPA ASC 2011, 2011
  • Choudhary S., Mukherjee P. , Chakraborty M., A SPT Based Low Complexity Realization of the Weight Update Loop of an Adaptive Filter, APSIPA ASC 2010, 2010
  • Chakraborty M, A New Adaptive Filter for Estimating and Tracking the Delay and the Amplitude of a Sinusoid, IEEE Transactions on Instrumentation and Measurement, 3049-3057, 2010
  • Choudhary S., Mukherjee P. , Chakraborty M., An Algorithm for Bit-Serial Addition of SPT Numbers for Multiplierless Realization of Adaptive Equalizers, APSIPA ASC 2009, 2009
  • Chakraborty M., Shaik R. A., Lee M. H., An Efficient Implementation of the Sign LMS Algorithm using Block Floating Point Format, EURASIP Journal on Advances in Signal Processing, 2007
  • Chakraborty M., So H. , Zheng J., New Adaptive Algorithm for Delay Estimation of Sinusoidal Signals, IEEE Signal Processing Letters, 984-987, 2007
  • Chakraborty M., Shaik R. A., Lee M. H, A Block-Floating-Point-Based Realization of the Block LMS Algorithm, IEEE Transactions on Circuits and Syst, Part II, 812-816, 2006
  • Chakraborty M., Mitra A., A Block Floating-Point Realization of the Gradient Adaptive Lattice Filter, IEEE Signal Processing Letters, 265-268, 2005
  • Chakraborty M., Sakai H., Convergence Analysis of a Complex LMS Algorithm with Tonal Reference Signals, IEEE Transactions on Speech and Audio Processing, 286-292, 2005
  • Mitra A., Chakraborty M., The NLMS Algorithm in Block Floating-Point Format, IEEE Signal Processing Letters, 301-304, 2004
  • Chakraborty M., Pervin S., Pipelining the Adaptive Decision Feedback Equalizer with Zero Latency, Signal Processing, 2675-2681, 2003
  • Chakraborty M., Pervin S., A Systolic Array Realization of the Adaptive Decision Feedback Equalizer, Signal Processing, 2633-2640, 2000
  • Chakraborty M., An Efficient Algorithm for Solving General Periodic Toeplitz Systems, IEEE Transactions on Signal Processing, 784-787, 1998
  • Prasad S., Chakraborty M. , Parthasarathy H., The Role of Statistics in Signal Processing A Review and Some Emerging Trends, Indian Journal of Pure and Applied Mathematics, 1995
  • Chakraborty M., Prasad S, Multichannel ARMA Modeling By Least Squares Circular Lattice Filtering, IEEE Transactions on Signal Processing, 2304-2318, 1994
  • Chakraborty M., Prasad S., Multivariate ARMA Modeling By Scalar Algorithms, IEEE Transactions on Signal Processing, 1692-1697, 1993


  • Advanced Adaptive Filtering for Estimation and Tracking of Saprse Signals and Systems, Client: Science and Engineering Research Board (SERB), P.I.: Mrityunjoy Chakraborty, Completed


  • Co-General chair, National Conference on Communications - Year: 2020
  • Member, faculty selection committee from overseas, National Chiao Tung University, Taiwan. - Year: 2020
  • Chair, DSP TC,IEEE CAS Society - Year: 2018
  • Distinguished Lecturer(APSIPA) - Year: 2015
  • Fellow (INAE) - Year: 2012
  • Fellow (NASI) - Year: 2012
  • INAE Chair Professor - Year: 2011

Research Group

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Ketan Atul Bapat
Ph. D.
Research Scholars
Signal Processing
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Samrat Mukhopadhyay
Ph. D.
Research Scholars
Signal Processing
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Sounak Samanta
Ph. D.
Research Scholars
VLSI Signal Processing