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Adaptive Filtering Primer with MATLAB

โœ Scribed by Alexander D. Poularikas, Zayed M. Ramadan


Publisher
CRC Press
Year
2006
Tongue
English
Leaves
202
Series
Electrical Engineering Primer Series
Edition
1
Category
Library

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โœฆ Synopsis


Adaptive Filtering Primer with MATLABR clearly explains the fundamentals of adaptive filtering supported by practical examples and computer experiments and functions. 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 MATLABR 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 rounds out the self-contained coverage.

โœฆ Subjects


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