DocumentCode
3020894
Title
Proportionate affine projection algorithms from a basis pursuit perspective
Author
Paleologu, Constantin ; Benesty, Jacob
Author_Institution
Univ. Politeh. of Bucharest, Bucharest, Romania
fYear
2012
fDate
20-23 May 2012
Firstpage
2757
Lastpage
2760
Abstract
It can be shown that the update of the affine projection algorithm (APA) can be decomposed as the sum of two orthogonal vectors. One of these vectors is derived from an ℓ2-norm optimization problem while the other one is simply a good initialization vector. By replacing the ℓ2-norm optimization with the ℓk-norm optimization (with 0 <; k ≤ 1), we can obtain a class of proportionate APAs (PAPAs). In this context, we evaluate the impact of the different ℓk-norm optimizations over the performance of the PAPAs.
Keywords
optimisation; vectors; ℓ2-norm optimization problem; APA; basis pursuit perspective; initialization vector; orthogonal vectors; proportionate affine projection algorithms; Context; Convergence; Echo cancellers; Optimization; Speech; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location
Seoul
ISSN
0271-4302
Print_ISBN
978-1-4673-0218-0
Type
conf
DOI
10.1109/ISCAS.2012.6271880
Filename
6271880
Link To Document