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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Poularikas, Alexander D., 1933- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, Taylor & Francis, [2015]
Temas:
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.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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.
Descripción Física:1 online resource (xviii, 343 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781482253368
1482253364

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