Affine Projection Algorithm Using Regressive Estimated Error | Zendy

Shu Zhang | Zendy; Yongfeng Zhi | Zendy

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Affine Projection Algorithm Using Regressive Estimated Error

Author(s) -

Shu Zhang,

Yongfeng Zhi

Publication year - 2011

Publication title -

isrn signal processing

Language(s) - English

Resource type - Journals

eISSN - 2090-505X

pISSN - 2090-5041

DOI - 10.5402/2011/180624

Subject(s) - algorithm , iterated function , convergence (economics) , rate of convergence , projection (relational algebra) , affine transformation , stability (learning theory) , mathematics , adaptive filter , ramer–douglas–peucker algorithm , computer science , mathematical analysis , computer network , channel (broadcasting) , machine learning , pure mathematics , economics , computation , economic growth

An affine projection algorithm using regressive estimated error (APA-REE) is presented in this paper. By redefining the iterated error of the affine projection algorithm (APA), a new algorithm is obtained, and it improves the adaptive filtering convergence rate. We analyze the iterated error signal and the stability for the APA-REE algorithm. The steady-state weights of the APA-REE algorithm are proved to be unbiased and consist. The simulation results show that the proposed algorithm has a fast convergence rate compared with the APA algorithm.

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