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...
| Κύριος συγγραφέας: | |
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| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
London, U.K. :
ISTE ;
2013.
Hoboken, N.J. : Wiley, 2013. |
| Σειρά: | Focus series.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
| Περίληψη: | 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. |
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| Περιγραφή τεκμηρίου: | Includes index. |
| Φυσική περιγραφή: | 1 online resource (xiv, 177 pages) : illustrations. |
| Βιβλιογραφία: | Includes bibliographical references and index. |
| ISBN: | 9781118579251 1118579259 9781118579664 1118579666 9781118579558 1118579550 9781299732360 1299732364 |
| DOI: | 10.1002/9781118579558 |
