A least squares approach to escalator algorithms for adaptive filtering

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초록

In this paper, we introduce an escalator (ESC) algorithm based on the least squares (LS) criterion. The proposed algorithm is relatively insensitive to the eigenvalue spread ratio (ESR) of an input signal and has a faster convergence speed than the conventional ESC algorithms. This algorithm exploits the fast adaptation ability of least squares methods and the orthogonalization property of the ESC structure. From the simulation results, the proposed algorithm shows superior convergence performance.

키워드

least squaresescalatorGram-Schmidt orthogonaleigenvalueadaptive algorithm
제목
A least squares approach to escalator algorithms for adaptive filtering
저자
Kim, N
DOI
10.4218/etrij.06.0105.0054
발행일
2006-04
유형
Article
저널명
ETRI Journal
28
2
페이지
155 ~ 161