DocumentCode
2963998
Title
Comparing Relaxed and Non-Relaxed Fast Affine Projection Adaptation Algorithms
Author
Ding, Heping
Author_Institution
Inst. for Microstruct. Sci., Nat. Res. Council
fYear
2006
fDate
24-27 Sept. 2006
Firstpage
342
Lastpage
347
Abstract
In order to provide a guideline to designers of practical adaptation systems that are based on the family of affine projection algorithms, this paper derives and verifies certain simple formulation for learning curves of relaxed and non-relaxed affine projection algorithms (APAs), to which the fast affine projection (FAP) algorithms approximate. It is observed that the formulation accurately predicts the behavior of the algorithms when the input is independent and identically distributed (i.i.d.), and gives a reasonable estimate when the input is speech-not satisfying the i.i.d. condition
Keywords
adaptive filters; filtering theory; APA; affine projection adaptation algorithm; learning curve; practical adaptation system; Adaptive filters; Echo cancellers; Equations; Filtering algorithms; Financial advantage program; Linear systems; Noise cancellation; Projection algorithms; Sampling methods; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Workshop, 12th - Signal Processing Education Workshop, 4th
Conference_Location
Teton National Park, WY
Print_ISBN
1-4244-3534-3
Electronic_ISBN
1-4244-0535-1
Type
conf
DOI
10.1109/DSPWS.2006.265403
Filename
4041086
Link To Document