Palghat P. Vaidyanathan (born in Kolkata, India on 16 October 1954) is the Kiyo and Eiko Tomiyasu Professor of Electrical Engineering at the California Institute of Technology, Pasadena, California, USA, where he teaches and leads research in the area of signal processing, especially digital signal processing (DSP), and its applications. He has authored five books, and authored or coauthored close to six hundred papers in various IEEE journals and conferences. Prof. Vaidyanathan received his B.Tech. and M.Tech. degrees from the Institute of Radiophysics and Electronics, Science College campus of University of Kolkata, and a Ph.D. degree in Electrical Engineering from University of California Santa Barbara in 1982.

Prof. Vaidyanathan's pioneering contributions include the development of the theory and structures for filter banks, P. P. Vaidyanathan, "Multirate digital filters, filter banks, polyphase networks, and applications: A tutorial," Proceedings of the IEEE, vol. 78, pp. 56-92, Jan. 1990. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=52200. R. D. Koilpillai, and P. P. Vaidyanathan, "Cosine-modulated FIR filter banks satisfying perfect reconstruction," IEEE Transactions on Signal Processing, vol. 40, pp. 770-783, April 1992. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=127951 S-M. Phoong, C. W. Kim, P. P. Vaidyanathan, and R. Ansari, "A new class of two-channel biorthogonal filter banks and wavelet bases," IEEE Trans. Signal Proc., vol. SP-43, pp. 649--665, March 1995. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=370620 P. P. Vaidyanathan, "Theory and design of M-channel maximally decimated quadrature mirror filters with arbitrary $M,$ having perfect reconstruction property," IEEE Trans. on Acoustics, Speech and Signal Processing, vol. 35, pp. 476-492, April 1987. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1165155 especially perfect reconstruction and orthonormal filter banks, which find applications in data compression standards such as JPEG and MPEG, and in digital communications. One of his early contributions is the development of the theory of robust digital filter structures directly in discrete time without recourse to classical circuit theoretical models. P. P. Vaidyanathan, S. K. Mitra and Y. Neuvo, "A new approach to the realization of low sensitivity IIR digital filters," IEEE Trans. on Acoustics, Speech and Signal Processing, vol. ASSP-34, pp. 350-361, April 1986. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1164829 P. P. Vaidyanathan and T. Q. Nguyen, "Eigenfilters: a new approach to least squares FIR filter design and applications including Nyquist filters," IEEE Trans. on Circuits and Systems, vol. 34, pp. 11-23, January 1987. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1086033 He has also contributed widely in other areas of signal processing including image processing,M. Mese and P. P. Vaidyanathan, "Look Up Table (LUT) for inverse halftoning," IEEE Trans. Image Processing, pp. 1566--1578, Oct. 2001. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=951541 genomic signal processing,P. P. Vaidyanathan, "Genomics and proteomics: a signal processor's tour," IEEE Circuits and Systems Magazine, vol. 4, no. 4, pp. 6--29, Dec. 2004. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1371584 sampling theory,P. P. Vaidyanathan, "Generalizations of the sampling theorem: seven decades after Nyquist," IEEE Trans. Circuits and Systems-1, pp. 1094--1109, Sept. 2001. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=948437 optimal transceivers, Ching-Chih Weng, Chun-Yang Chen, and P. P. Vaidyanathan, "MIMO transceivers with decision feedback and bit loading: theory and optimization", IEEE Transactions on Signal Processing, March 2010. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5272297 Chih-Hao Liu and P. P. Vaidyanathan, "MMSE DFE Transceiver Design over Slowly Time-varying MIMO Channels Using ST-GTD", IEEE Transactions on Signal Processing, vol. 59, pp. 277--289, Jan. 2011. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5601795 radar signal processing, Chun-Yang Chen and P. P. Vaidyanathan, "MIMO radar space-time adaptive processing using prolate spheroidal wave functions", IEEE Transactions on Signal Processing, Feb, 2008. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4400830 Chun-Yang Chen and P. P. Vaidyanathan, "MIMO Radar Waveform Optimization with Prior Information of the Extended Target and Clutter", IEEE Transactions on Signal Processing, vol. 57, no. 9, pp. 3533-3544, Sept. 2009. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4840496 and sensor array processing. Piya Pal and P. P. Vaidyanathan, "Nested arrays: a novel approach to array processing with enhanced degrees of freedom," IEEE Transactions on Signal Processing, vol. 58, pp. 4167--4181, August 2010. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5456168 P. P. Vaidyanathan and Piya Pal, "Sparse sensing with coprime samplers and arrays", IEEE Transactions on Signal Processing, vol. 59, no. 2, pp. 573--586, Feb. 2011. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5609222 He has also explored the role of number theory in signal processing applications. P. P. Vaidyanathan, "Ramanujan sums in the context of signal processing: Part I: fundamentals," IEEE Trans. on Signal Proc., vol. 62, no. 16, pp. 4145--4157, Aug., 2014. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6839014 P. P. Vaidyanathan, "Ramanujan sums in the context of signal processing: Part II: FIR representations and applications," IEEE Trans. on Signal Proc., vol. 62, no. 16, pp. 4158--4172, Aug., 2014. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6839030&tag=1 S. V. Tenneti and P. P. Vaidyanathan, "Nested Periodic Matrices and Dictionaries: New Signal Representations for Period Estimation," IEEE Trans. on Signal Proc., vol. 63, no. 14, pp. 3736--3750, July 2015. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7109930&tag=1

Awards and honors IEEE Jack S. Kilby Signal Processing Medal, 2024 Fellow of the Indian National Academy of Engineering, 2021 EURASIP Athanasios Papoulis Award, 2021 Member of the U.S. National Academy of Engineering. IEEE Signal Processing Society Award, 2016. Northrop Grumman prize for Excellence in Teaching at California Institute of Technology, 2016. IEEE Gustav Robert Kirchhoff Award, 2016. Education Award of the IEEE Signal Processing Society, 2011. Eliahu Jury Seminar Award, University of Miami, 2007. Technical Achievement Award of the IEEE Signal Processing Society, 2001. Golden jubilee medal, IEEE Circuits and Systems Society, 2000. Distinguished lecturer, IEEE Signal Processing Society, 1996–97. Awards for excellence in teaching, California Institute of Technology (multiple times). Best paper awards from IEEE Signal Processing Society (multiple times). F. E. Terman Award of the ASEE, sponsored by the Hewlett-Packard company, 1995. Fellow of the IEEE, 1991. Presidential Young Investigator Award, National Science Foundation, 1986.

Books

P. P. Vaidyanathan, Multirate systems and filter banks, Prentice Hall, Englewood Cliffs, 1993. P. P. Vaidyanathan, The Theory of Linear Prediction, Morgan & Claypool Publishers, 2008. P. P. Vaidyanathan, S.-M Phoong, and Y.-P Lin, Signal Processing and Optimization for Transceiver Systems, Cambridge University Press, 2010. Y.-P Lin, S.-M. Phoong, and P. P. Vaidyanathan, Filter bank transceivers for OFDM and DMT systems, Cambridge University Press, 2010. P. P. Vaidyanathan, Signals, Systems, and Signal Processing, Cambridge University Press, 2024.

References

External links

P. P. Vaidyanathan's homepage Google scholar page