Adaptive filtering: fundamentals of least mean squares with MATLAB
Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the statistic...
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Boca Raton
CRC Press, Taylor & Francis
[2015]
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Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781482253351/?ar |
Zusammenfassung: | Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area-the least mean square (LMS) adaptive filter. This largely self-contained text:Discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributionsExplains how to find the eigenvalues and eigenvectors of a. |
Beschreibung: | Includes bibliographical references and index. - Print version record |
Umfang: | 1 Online-Ressource (xviii, 343 Seiten) illustrations |
ISBN: | 9781482253368 1482253364 9781482253351 |
Internformat
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isbn | 9781482253368 1482253364 9781482253351 |
language | English |
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spelling | Poularikas, Alexander D. 1933- VerfasserIn aut Adaptive filtering fundamentals of least mean squares with MATLAB Alexander D. Poularikas Boca Raton CRC Press, Taylor & Francis [2015] ©20 ©2015 1 Online-Ressource (xviii, 343 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area-the least mean square (LMS) adaptive filter. This largely self-contained text:Discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributionsExplains how to find the eigenvalues and eigenvectors of a. English. MATLAB Adaptive filters Mathematical models Adaptive signal processing Mathematics Least squares Data processing Filtres adaptatifs ; Modèles mathématiques Traitement adaptatif du signal ; Mathématiques MATHEMATICS ; Probability & Statistics ; General TECHNOLOGY & ENGINEERING ; Electrical TECHNOLOGY & ENGINEERING ; Mechanical Adaptive filters ; Mathematical models Adaptive signal processing ; Mathematics Least squares ; Data processing 9781482253351 Erscheint auch als Druck-Ausgabe 9781482253351 |
spellingShingle | Poularikas, Alexander D. 1933- Adaptive filtering fundamentals of least mean squares with MATLAB MATLAB Adaptive filters Mathematical models Adaptive signal processing Mathematics Least squares Data processing Filtres adaptatifs ; Modèles mathématiques Traitement adaptatif du signal ; Mathématiques MATHEMATICS ; Probability & Statistics ; General TECHNOLOGY & ENGINEERING ; Electrical TECHNOLOGY & ENGINEERING ; Mechanical Adaptive filters ; Mathematical models Adaptive signal processing ; Mathematics Least squares ; Data processing |
title | Adaptive filtering fundamentals of least mean squares with MATLAB |
title_auth | Adaptive filtering fundamentals of least mean squares with MATLAB |
title_exact_search | Adaptive filtering fundamentals of least mean squares with MATLAB |
title_full | Adaptive filtering fundamentals of least mean squares with MATLAB Alexander D. Poularikas |
title_fullStr | Adaptive filtering fundamentals of least mean squares with MATLAB Alexander D. Poularikas |
title_full_unstemmed | Adaptive filtering fundamentals of least mean squares with MATLAB Alexander D. Poularikas |
title_short | Adaptive filtering |
title_sort | adaptive filtering fundamentals of least mean squares with matlab |
title_sub | fundamentals of least mean squares with MATLAB |
topic | MATLAB Adaptive filters Mathematical models Adaptive signal processing Mathematics Least squares Data processing Filtres adaptatifs ; Modèles mathématiques Traitement adaptatif du signal ; Mathématiques MATHEMATICS ; Probability & Statistics ; General TECHNOLOGY & ENGINEERING ; Electrical TECHNOLOGY & ENGINEERING ; Mechanical Adaptive filters ; Mathematical models Adaptive signal processing ; Mathematics Least squares ; Data processing |
topic_facet | MATLAB Adaptive filters Mathematical models Adaptive signal processing Mathematics Least squares Data processing Filtres adaptatifs ; Modèles mathématiques Traitement adaptatif du signal ; Mathématiques MATHEMATICS ; Probability & Statistics ; General TECHNOLOGY & ENGINEERING ; Electrical TECHNOLOGY & ENGINEERING ; Mechanical Adaptive filters ; Mathematical models Adaptive signal processing ; Mathematics Least squares ; Data processing |
work_keys_str_mv | AT poularikasalexanderd adaptivefilteringfundamentalsofleastmeansquareswithmatlab |