Adaptive Filtering Primer with MATLAB ® clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm. They also supply many MATLAB ® functions and m-files along with computer experiments to illustrate how to apply the concepts to real-world problems. The book includes problems along with hints, suggestions, and solutions for solving them. An appendix on matrix computations completes the self-contained coverage.
With applications across a wide range of areas, including radar, communications, control, medical instrumentation, and seismology, Adaptive Filtering Primer with MATLAB ® is an ideal companion for quick reference and a perfect, concise introduction to the field.
Publisher: Taylor & Francis Inc
Number of pages: 240
Weight: 318 g
Dimensions: 235 x 159 x 13 mm
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