Proportionate-type normalized least mean square algorithms:
Gespeichert in:
Bibliographische Detailangaben
Beteilige Person: Wagner, Kevin (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: London, U.K. ISTE 2013
Schriftenreihe:Focus series
Schlagwörter:
Links:https://onlinelibrary.wiley.com/doi/book/10.1002/9781118579558
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118579558
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118579558
Beschreibung:Includes index
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
Umfang:1 Online-Ressource (xiv, 177 pages)
ISBN:9781118579251
1118579259
9781118579664
1118579666
9781118579558
1118579550
9781299732360
1299732364
9781848214705
1848214707