Dr. Mrityunjoy Chakraborty Prithviraj and Swati Banerjee Chair professor (2022-2024)
Professor and Head (2021-2023), Electronics and Electrical Communication Engineering
Indian Institute of Technology (IIT) Kharagpur, INDIA

Publication

Journal Publications

Conference

  • Convex Combination of Compressed Sensing Algorithms for Multiple Measurement Vectors, K. A. Bapat, Shashank S. and M. Chakraborty, Proc. SPCOM-2024, IISc Bangalore, July, 2024.
  • Hard Thresholding Based Stochastic Robust Algorithm for Multiple Measurement Vectors, K. A. Bapat, Shashank S. and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, Singapore May, 2024.
  • Convex Combination of Compressed Sensing Algorithms, K. A. Bapat and M. Chakraborty, Proc. EUSIPCO-23, Helsinki, Finland, September, 2023.
  • Hard Thresholding based Robust Algorithm for Multiple Measurement Vectors, K. A. Bapat and M. Chakraborty, Proc. 22nd IEEE Statistical Signal Processing workshop, Hanoi, Vietnam, July, 2023.
  • Heavy Ball Based Hard Thresholding Algorithms for Multiple Measurement Vectors, K. A. Bapat and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, Monterey, CA, USA, May, 2023.
  • Thresholding Based Stochastic Robust Algorithm for Distributed Compressed Sensing, K. A. Bapat and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, Monterey, CA, USA, May, 2023.
  • Randomized Simultaneous Hard Thresholding Pursuit Algorithm for Multiple Measurement Vectors, K. A. Bapat and M. Chakraborty, Proc. SPCOM-2018, IISc Bangalore, July, 2022.
  • Robust Recovery of Sparse Signals from Compressed Measurements for Wireless Sensor Networks, K. A. Bapat and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, Austin, Texas, USA, May, 2022.
  • Partial Diffusion Affine Projection Algorithm over Clustered Multitask Networks V. C. Gogineni and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, Sapparo, Japan, May, 2019.
  • Diffusion Affine Projection Algorithm over Multitask Networks, V. C. Gogineni and M. Chakraborty, Proc. APSIPA ASC, 2018, Honolulu, Hawaii, USA, Nov., 2018.
  • A Low Complexity Orthogonal Least Squares Algorithm for Sparse Signal Recovery, S. Mukhopadhyay, S. Satpathi and M. Chakraborty, Proc. SPCOM-2018, IISc Bangalore, July, 2018.
  • Robust Adaptive Filtering via Convex Combination of L0-RLS Adaptive Filters, Bijit Kumar Das, Samrat Mukhopadhyay and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, Florence, Italy, May, 2018.
  • A Block-Based Convex Combination of NLMS and ZANLMS for Identifying Sparse Systems with Variable Sparsity, Bijit Kumar Das and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, Baltimore, USA, May, 2017.
  • A New Diffusion Sparse RLS Algorithm with Improved Convergence Characteristics, Bijit Kumar Das and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, Montreal, Canada, May, 2016.
  • On Steady State Tracking Performance of Adaptive Networks, B. K. Das, Ruiz L. A., M. Chakraborty, J. A. Garcia, DSP-15, Singapore, July, 2015.
  • Sparse Distributed Learning via Heterogeneous Diffusion Adaptive Networks, Bijit K. Das, M. Chakraborty and Jeronimo Arenas-Garcia, Proc. IEEE International Symposium on Circuits and Systems, Lisbon, Portugal, May, 2015.
  • A Variable Step-Size Zero Attracting Proportionate Normalized Least Mean Square Algorithm, Rajib Lochan Das and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, Melbourne, Australia, May, 2014.
  • Sparse Adaptive Filtering by Iterative Hard Thresholding, Rajib Lochan Das and M. Chakraborty, Proc. APSIPA ASC 2013, Kaohsiung, Taiwan, November, 2013.
  • Sparse Adaptive Filters – an Overview and Some New Results, Rajib Lochan Das and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, Seoul, South Korea, May, 2012.
  • Gradient Comparator Least Mean Square Algorithm for Identification of Sparse Systems with Variable Sparsity, Bijit Kumar Das and M. Chakraborty, Proc. APSIPA ASC 2011, Xi’an, China, October, 2011.
  • Adaptive Identification of Sparse Systems with Variable Sparsity, Bijit Kumar Das, Mrityunjoy Chakraborty and Soumitro Banerjee, Proc. IEEE International Symposium on Circuits and Systems, Rio de Janeiro, May, 2011.
  • A SPT Based Low Complexity Realization of the Weight Update Loop of an Adaptive Filter, S. Choudhary, P. Mukherjee and M. Chakraborty, Proc. APSIPA ASC 2010, Singapore, December, 2010.
  • A Low Complexity Realization of the Sign-LMS Algorithm, S. S. Rath and M. Chakraborty, Proc. IEEE International Conference on Green Circuits and Systems, Shanghai, China, June, 2010.
  • A SPT Treatment to the Bit-Serial Realization of the Sign-LMS Based Adaptive Filter, S. Choudhary, P. Mukherjee and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, Paris, May, 2010.
  • An Algorithm for Bit-Serial Addition of SPT Numbers for Multiplierless Realization of Adaptive Equalizers, S. Choudhary, P. Mukherjee and M. Chakraborty, Proc. APSIPA ASC 2010, Sapparo, October, 2009.
  • An Efficient Finite Precision Realization of the Block Adaptive Decision Feedback Equalizer, R. Shaik, M. Chakraborty and S. Chattopadhyaya, Proc. IEEE International Symposium on Circuits and Systems, Seattle, USA, May, 2008.
  • An Efficient, Finite Precision Realization of the Adaptive Decision Feedback Equalize, R. Shaik and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, New Orleans, USA, May, 2007.
  • An Efficient Realization of the Decision Feedback Equalizer using Block Floating Point Arithmetic, R. Shaik and M. Chakraborty, Proc. APCCAS 2006, Singapore.
  • The Block LMS Algorithm and its FFT based Fast Implementation - New Efficient Realization using Block Floating Point Arithmetic, R. Shaik and M. Chakraborty, Proc. EUSIPCO-2006, Florence, Italy, Sept., 2006.
  • The Gradient Adaptive Lattice Algorithm in Block Floating Point Format, M. Chakraborty and A. Mitra, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Montreal, May, 2004
  • Realization of the NLMS based Transversal Adaptive Filter Using Block Floating Point Arithmetic, A. Mitra and M. Chakraborty, Proc. IEEE International Symposium on Circuits and Systems, Bangkok, May, 2003.
  • An Efficient Block Floating Point Implementation of the LMS Algorithm, M. Chakraborty, A. Mitra and H. Sakai, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, HongKong, April, 2003.
  • An Efficient Block Floating Point Implementation of Fixed Coefficient FIR Digital Filter, A. Mitra and M. Chakraborty, Proc. National Conference On Communications, Bombay, January, 2002.
  • A Hyperbolic LMS Algorithm for CORDIC Based Realization, M. Chakraborty, S. Pervin, T. S. Lamba, Proc. IEEE Workshop on Statistical Signal Processing-2001, Singapore, August 6-8, 2001.
  • A CORDIC Realization of the Transversal Adaptive Filter Using a Trigonometric LMS Algorithm, M. Chakraborty, A. S. Dhar, S. Pervin, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Salt Lake City, Utah, USA, May, 2001.
  • A Trigonometric Formulation of the LMS Algorithm, M. Chakraborty, S. Pervin and A. S. Dhar, Proc. of the National Conference On Comunications, Kanpur, India, January, 2001.
  • Systolization of the Adaptive Decision Feedback Equalizer Using a Symbolic State Space Formulation, M. Chakraborty and S. Pervin, Proc. of EUSIPCO-2000, Tampere, Finland, Sept., 2000.
  • Pipelining the Adaptive Decision Feedback Equalizers with Zero Latency, M. Chakraborty, S. Pervin and A. S. Dhar, Proc. of the National Conference on Comunications, New Delhi, January, 2000.
  • A Fast Algorithm for Solving Periodically Toeplitz Systems, M. Chakraborty, Proc. International Symposium on Signal Processing and Applications, Gold Coast, Australia, August, 1996.
  • An Algorithm for Efficient Inversion of Periodic Toeplitz Matrices, M. Chakraborty, Proc. National Conference on Communications, IIT, Bombay, Feb., 1996.