P. P. Vaidyanathan

Kiyo and Eiko Tomiyasu Professor of Electrical Engineering

Email contact: ppvnath@systems.caltech.edu

Prof. P. P. Vaidyanathan has been with the Electrical Engineering department of the California Institute of Technology since 1983. His main research interests are in digital signal processing, sparse array signal processing, spectrum sensing and applications, multirate systems and filter banks, wavelet transforms, compressive sensing and sparse reconstruction, genomic signal processing, and signal processing for digital communications. Further details about the research in his group can be found below.


Prof. P. P. Vaidyanathan has been with the California Institute of Technology since 1983, and has authored over 500 peer reviewed papers. He has authored four books in the signal processing area: Filter bank Transceivers for OFDM and DMT Systems (Cambridge, 2010), Signal Processing and Optimization for Transceiver Systems (Cambridge, 2010), The Theory of Linear Prediction (Morgan and Claypool, 2008) and Multirate Systems and Filter Banks (Prentice Hall, 1993). He received the NSF Presidential Young Investigator award in 1986, and was a recipient of the Award for excellence in teaching at the California Institute of Technology multiple times. He is a Fellow of the IEEE (1991), and has given several plenary talks at IEEE and other conferences. He is a recipient of the F. E. Terman Award of the American Society for Engineering Education, and has served as a distinguished lecturer for the IEEE Signal Processing Society. He is also a recipient of the IEEE CAS Society Golden Jubilee Medal, the IEEE Signal Processing Society's Technical Achievement Award (2002), the IEEE Signal Processing Society's Education Award (2012), the IEEE Signal Processing Society's "Society Award" (2016), and over twelve best paper awards. He received the IEEE Gustav Robert Kirchhoff Award (a Technical Field Award) in 2016 for "fundamental contributions to digital signal processing."

Considered to be one of the pioneering contributors to multirate signal processing research, Prof. Vaidyanathan has heavily influenced the research directions in filter banks and multirate systems. He is most well known for developing the general theory of filter banks with perfect reconstruction, as well as orthonormal filter banks, which have impacted digital communications, audio, and image coders. One of his earliest contributions was in the area of low-sensitivity digital filter structures. He showed how such structures can be designed directly in discrete time, without the need for transforming electrical circuits into the digital domain. An early proponent of applying signal processing methods to genomics, Vaidyanathan developed methods to computationally predict the location of protein coding genes and noncoding genes. His recent work on Ramanujan-sums, and his introduction of Ramanujan subspaces have resulted in new representations and efficient algorithms for signals with hidden patterns such as periodicities. His work on coprime and nested sampling and spatial arrays has had a major impact in array processing research, leading to new directions in this area.

Personal details: P. P. Vaidyanathan was born in Calcutta, India on Oct. 16,1954. He received the B.Sc. (Hons.) degree in physics and the B.Tech. and M.Tech. degrees in radiophysics and electronics, all from the University of Calcutta, India, in 1974, 1977 and 1979, respectively, and the Ph.D degree in electrical and computer engineering from the University of California at Santa Barbara in 1982. In 1983 he joined the electrical engineering department of the Calfornia Institute of Technology as an Assistant Professor, and since 1993 has been a Professor of electrical engineering there. During 2002-05, he also served as the Executive Officer of the EE department at Caltech.


For more up to date list of papers, see Google Scholar.

  • Text 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, See-May Phoong, and Yuan-Pei Lin, Signal Processing and Optimization for Transceiver Systems, Cambridge University Press, 2010.

    • Yuan-Pei Lin, See-May Phoong, and P. P. Vaidyanathan, Filter bank transceivers for OFDM and DMT systems, Cambridge University Press, 2010.

  • Theses

    • P. P. Vaidyanathan, ``Some algorithms for digital signal processing,'' Masters' dissertation, Institute of Radiophysics and Electronics, University of Calcutta, India, 1979.

    • P. P. Vaidyanathan, ``A general theory and synthesis procedure for low sensitivity digital filter structures,'' Ph. D. dissertation, Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, September 1982.
  • Book Chapters

    • P. P. Vaidyanathan, ``Design and implementation of digital FIR filters,'' in Handbook on Digital Signal Processing, edited by D. F. Elliott, Academic Press Inc., pp. 55-172, 1987.

    • P. P. Vaidyanathan, ``Low noise and low sensitivity digital filters,'' in Handbook on Digital Signal Processing, edited by D. F. Elliott, Academic Press Inc., pp. 359-479, 1987.

    • P. P. Vaidyanathan, ``Robust digital filter structures,'' in Handbook for digital signal processing, edited by S. K. Mitra and J. F. Kaiser, pp. 419--490, John Wiley, 1993.

    • P. P. Vaidyanathan and Igor Djokovic, ``Wavelet transforms,'' in The Circuits and Filters Handbook edited by W. K. Chen, CRC Press, Inc., 1995.

    • P. P. Vaidyanathan, ``Sampling theorems from wavelet and filter bank theory'', in Microsystems technology for multimedia applications, ed., B. Sheu, M. Ismail, E. Sanchez-Sinencio, and T. H. Wu, IEEE Press, pp. 179--189, April-May 1995 ( invited chapter).

    • Sony Akkarakaran and P. P. Vaidyanathan, "Nonuniform filter banks: new results and open problems," in Beyond wavelets, edited by G. V. Welland, Academic Press, Inc., pp. 259--300, 2003.

    • P. P. Vaidyanathan, "Sampling theorems for non bandlimited signnals," in Sampling, wavelets, and tomography, ed., J. J. Benedetto and A. I. Zayed, Birkhauser, pp. 115--136, 2004.

    • Chun-Yang Chen and P. P. Vaidyanathan, ``MIMO Radar Space-Time Adaptive Processing and Signal Design,'' Chapter 6 in MIMO Radar Signal Processing, J. Li and P. Stoica, Wiley, 2008.

    • P. P. Vaidyanathan and Piya Pal, "Coprime sampling and arrays in one and multiple dimensions", in Multiscale Signal Analysis and Modeling, Edited by X. A. Shen and A. I. Zayed, Springer, 2012.


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- last update: Nov. 2020 -