Proportionate Adaptive Filters From a Basis Pursuit Perspective

In this letter, we show that the normalized least-mean-square (NLMS) algorithm and the affine projection algorithm (APA) can be decomposed as the sum of two orthogonal vectors. One of these vectors is derived from an ℓ 2 -norm optimization problem while the other one is simply a good initialization...

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Vydané v:	IEEE signal processing letters Ročník 17; číslo 12; s. 985 - 988
Hlavní autori:	Benesty, Jacob, Paleologu, Constantin, Ciochină, Silviu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.12.2010 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive filters Algorithms APA basis pursuit Convergence Decomposition echo cancellation Echo cancellers Least mean square algorithms Mathematical analysis NLMS Optimization PAPA PNLMS Projection Signal processing Signal processing algorithms Vectors (mathematics)
ISSN:	1070-9908, 1558-2361
On-line prístup:	Získať plný text
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