Cargando…

Proportionate-type normalized least mean square algorithms /

The topic of this book is proportionate-type normalized least mean squares (PtNLMS) adaptive filtering algorithms, which attempt to estimate an unknown impulse response by adaptively giving gains proportionate to an estimate of the impulse response and the current measured error. These algorithms of...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wagner, Kevin
Otros Autores: Doroslovački, Miloš
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, U.K. : Hoboken, N.J. : ISTE ; Wiley, 2013.
Colección:Focus series.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:The topic of this book is proportionate-type normalized least mean squares (PtNLMS) adaptive filtering algorithms, which attempt to estimate an unknown impulse response by adaptively giving gains proportionate to an estimate of the impulse response and the current measured error. These algorithms offer low computational complexity and fast convergence times for sparse impulse responses in network and acoustic echo cancellation applications. New PtNLMS algorithms are developed by choosing gains that optimize user-defined criteria, such as mean square error, at all times. PtNLMS algorithms ar.
Notas:Includes index.
Descripción Física:1 online resource (xiv, 177 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781118579251
1118579259
9781118579664
1118579666
9781118579558
1118579550
9781299732360
1299732364