Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far beyond those of just few years ago. Nonlinear, adaptive methods for signal processing have emerged to provide better array gain performance, however, they lack the robustness of conventional algorithms. The challenge remains to develop a concept that exploits the advantages of both-a scheme that integrates these methods in practical, real-time systems. The Advanced Signal Processing Handbook helps you meet that challenge. Beyond offering an outstanding introduction to the principles and applications of advanced signal processing, it develops a generic processing structure that takes advantage of the similarities that exist among radar, sonar, and medical imaging systems and integrates conventional and nonlinear processing schemes.

About the Author:

Dr. Stergios Stergiopoulos

is the Acting Chief Scientist at the Defence R&D Canada (DRDC) Toronto, an Associate Professor (Status Only) at the Edward S. Rogers Sr. Department of Electrical & Computer Engineering of the University of Toronto, and the main innovator of the Defence R&D Canada (DRDC) medical diagnostic technologies and patents that have been licensed for commercialization.

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