Adaptive Filtering Primer with MATLAB

Adaptive Filtering Primer with MATLAB

Alexander D. Poularikas, Zayed M. Ramadan
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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.
Categorie:
Anno:
2006
Edizione:
1
Casa editrice:
CRC Press
Lingua:
english
Pagine:
202
ISBN 10:
0849370434
ISBN 13:
9780849370434
Collana:
Electrical Engineering Primer Series
File:
PDF, 2.47 MB
IPFS:
CID , CID Blake2b
english, 2006
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