Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB®
Author:   Alexander D. Poularikas (The University of Alabama in Huntsville, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138417915


Pages:   363
Publication Date:   27 July 2017
Format:   Hardback
Availability:   In Print   Availability explained
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Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB®


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Author:   Alexander D. Poularikas (The University of Alabama in Huntsville, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781138417915


ISBN 10:   1138417912
Pages:   363
Publication Date:   27 July 2017
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Vectors. Matrices. Processing of 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. Variants of Least Mean-Square Algorithm. Appendices.

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Author Information

Alexander D. Poularikas is chairman of the electrical and computer engineering department at the University of Alabama in Huntsville, USA. He previously held positions at University of Rhode Island, Kingston, USA and the University of Denver, Colorado, USA. He has published, coauthored, and edited 14 books and served as an editor-in-chief of numerous book series. A Fulbright scholar, lifelong senior member of the IEEE, and member of Tau Beta Pi, Sigma Nu, and Sigma Pi, he received the IEEE Outstanding Educators Award, Huntsville Section in 1990 and 1996. Dr. Poularikas holds a Ph.D from the University of Arkansas, Fayetteville, USA.

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