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A least squares approach to escalator algorithms for adaptive filtering
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2초록
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 squares; escalator; Gram-Schmidt orthogonal; eigenvalue; adaptive algorithm
- 제목
- A least squares approach to escalator algorithms for adaptive filtering
- 저자
- Kim, N
- 발행일
- 2006-04
- 유형
- Article
- 저널명
- ETRI Journal
- 권
- 28
- 호
- 2
- 페이지
- 155 ~ 161