Simon Haykin

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Simon Haykin (born in 1931 as Sahir Sabir Hakim [1] [2] ) is an electrical engineer noted for his pioneering work in Adaptive Signal Processing with emphasis on applications to Radar Engineering and Telecom Technology. He is currently Distinguished University Professor at McMaster University in Hamilton, Ontario, Canada.

Contents

Education and career

Haykin received BSc (First-Class Honours) (1953); Ph.D. (1956), and DSc. (1967), degrees-all in Electrical Engineering from University of Birmingham, UK (England). He is a Fellow of the Royal Society of Canada, and a Fellow of the Institute of Electrical and Electronics Engineers for contributions to signal processing, communications theory, and electrical engineering education. [3] In 2002 he became a recipient of Henry Booker Gold Medal from URSI and in 1999 received Hon. Degree of Doctor of Technical Science from ETH Zurich, Switzerland, and many other medals and prizes.

In mid-1980s, Haykin shifted the thrust of his research effort in the direction of neural computation, which was re-emerging at that time and intrinsically resembled Adaptive Signal Processing. All along, he had a vision of revisiting fields of radar engineering and telecom technology from a brand new perspective. That vision became a reality in early years of this century with publication of two seminal journal papers:

“Cognitive Radio: Brain-empowered Wireless communications”, which appeared in IEEE J. Selected Areas in Communications, Feb. 2005.

“Cognitive Radar: A Way of the Future”, which appeared in the IEEE J. Signal Processing, Feb. 2006.

Cognitive Radio and Cognitive Radar are two important parts of a much wider and integrative field: Cognitive Dynamic Systems, research into which has become his passion.

Honours and awards

Books

S. Haykin, Adaptive Filter Theory, 5th Edition, Prentice Hall, 2013.

S. Haykin, Neural Networks and Learning Machines (3rd Edition), Prentice Hall, 2009

S. Haykin and M. Reed, Statistical Communication Theory, Wiley.

S. Haykin and M. Moher, Introduction to Analog and Digital Communications, Second Edition, Wiley.

S. Haykin and M. Moher, Modern Wireless Communications: Prentice-Hall 2004.

S. Haykin and B. Van Veen, Signals and Systems, Second Edition, Wiley, 2003.

S. Haykin and B. Widrow, (eds.), Least Mean-Square Filters: New insights and developments, Wiley-Interscience, 2002.

S. Haykin, Adaptive Filter Theory, 4th Edition, Prentice Hall, 2002.

S. Haykin and B. Kosko (ed.), Intelligent Signal Processing, IEEE Press, 2001

P. Yee and S. Haykin, Regularized Radial Basis Function Networks, Wiley, 2001

S. Haykin, Communication Systems, Fourth Edition, Wiley, 2001.

S. Haykin (ed.), Unsupervised Adaptive Filtering, Vol. I and II, Wiley, 2000

S. Haykin and S.Puthusserypady, Chaotic Dynamics of Sea Clutter, Wiley, 1999.

S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd Edition, Prentice-Hall, 1999.

S. Haykin and B. Van Veen, “Signals and Systems”, Wiley, 1998

S. Haykin, “Adaptive Filter Theory”, 3rd Edition, Prentice-Hall, 1996.

S. Haykin (editor), Advances in Spectrum Analysis and Array Processing, Vol. III, Prentice-Hall, 1994.

S. Haykin, “Communications Systems”, Third Edition, Wiley, 1994.

S. Haykin, E. Lewis, K. Raney, and J. Rossiter, editors, “Remote Sensing of Sea Ice”, Wiley-Interscience, 1994.

S. Haykin (editor), “Blind Deconvolution”, Prentice-Hall, 1994.

S. Haykin and A. Steinhardt, “Radar Detection and Estimation”, Wiley, 1992.

S. Haykin, J. Litva, and T. Shepherd (editors), “Radar Array Processing”, Springer-Verlag, 1992.

S. Haykin, “Adaptive Filter Theory”, Second Edition, Prentice Hall, 1991.

S. Haykin (editor), “Advances in Spectrum Estimation and Array Processing”. Volumes I and II, Prentice-Hall, 1991.

S. Haykin, “An Introduction to Analog and Digital Communications”, Wiley, 1989.

S. Haykin, “Modern Filters”, Macmillan, 1989.

S. Haykin, “Digital Communications”, Wiley, 1988.

S. Haykin (editor), “Selected Topics in Signal Processing”, Prentice-Hall, 1988.

E. Lewis, B. Currie and S. Haykin, “Surface-based Radar Detection and Classification of Sea Ice”, Research Studies Press Ltd. (United Kingdom), 1987.

S. Haykin, “Adaptive Filter Theory”, Prentice-Hall, 1986.

S. Haykin, “Array Signal Processing”, Prentice-Hall, 1984.

S. Haykin, “Communications Systems”, Second Edition, Wiley, 1983.

S. Haykin (editor), “Nonlinear Methods of Spectral Analysis”, Second Edition, Springer-Verlag, 1983.

S. Haykin (editor), “Array Processing: Applications to Radar”, Dowden, Hutchison and Ross, 1980.

S. Haykin (editor), “Detection and Estimation: Applications to Radar”, Dowden, Hutchison and Ross, 1979.

S. Haykin, “Nonlinear Methods of Spectral Analysis:, Springer-Verlag, 1979.

S. Haykin, “Communications Signals and Systems”, Wiley, 1978.

Related Research Articles

Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space, or frequency. In digital electronics, a digital signal is represented as a pulse train, which is typically generated by the switching of a transistor.

<span class="mw-page-title-main">Signal processing</span> Analysing, modifying and creating signals

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<span class="mw-page-title-main">Array processing</span>

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References

  1. "Optical techniques applied to the investigation of certain aspects of electric breakdown in liquids / by Sahir Sabir Hakim". University of Birmingham.
  2. "A biographical sketch of Michael A.G. Haykin". Hesed & Emet Publishing.
  3. "IEEE Fellows 1982 | IEEE Communications Society".
  4. Royal Society of Canada entry Archived 2012-02-24 at the Wayback Machine
  5. "Seminarios SSR". Archived from the original on 2009-12-23. Retrieved 2010-02-10.
  6. "Information for journalists".
  7. "2016 IEEE Medals and Recognitions Recipients and Citations" (PDF). IEEE . Retrieved 2016-07-07.