Adaptive Filtering : Fundamentals of Least Mean Squares With MATLAB, Paperbac...

Description: Adaptive Filtering : Fundamentals of Least Mean Squares With MATLAB, Paperback by Poularikas, Alexander D., ISBN 1482253356, ISBN-13 9781482253351, Brand New, Free shipping in the US The least mean-square adaptive filter is the most important part of statistical signal processing, says Poularikas, and is widely used in such fields as communications, control, radar, sonar, and seismology. He explains the fundamentals for scientists and engineers in a book that can also serve as a supplement in a first graduate course in signal processing. It covers vectors, matrices, processing discrete deterministic signals: discrete systems, discrete-time random processes, the Wiener filter, eigenvalues of Rx: properties of the error surface, Newton's and steepest descent methods, the least mean-square algorithm, and variants of least mean-square algorithm. Annotation ©2015 Ringgold, Inc., Portland, OR ()

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Book Title: Adaptive Filtering : Fundamentals of Least Mean Squares With MATL

Number of Pages: 363 Pages

Publication Name: Adaptive Filtering : Fundamentals of Least Mean Squares with Matlab®

Language: English

Publisher: CRC Press LLC

Subject: Signals & Signal Processing, Mathematical & Statistical Software, Probability & Statistics / General, Electrical

Publication Year: 2014

Item Height: 0.8 in

Type: Textbook

Item Weight: 19.2 Oz

Author: Alexander D. Poularikas

Item Length: 9.2 in

Subject Area: Mathematics, Computers, Technology & Engineering

Item Width: 6.1 in

Format: Trade Paperback