Presentation 2006-06-23
Alias Free Subband Adaptive Digital Filter based on Recursive Least Squares Algorithm for Fixed Point Arithmetic
Kota ENDO, Kiyoshi NISHIKAWA, Hitoshi KIYA,
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Abstract(in English) The recursive least squares (RLS) algorithm is characterized by a fast rate of convergence. But the RLS algorithm requires huge amount of computational complexities. And, when finite word-length arithmetic are used, the adaptive filter could not be updated properly, so that coefficients of the adaptive filter could diverge. In order to resolve these problems, the fast RLS algorithms and the frequency domain adaptive filters are proposed. Though they can reduce the amount of computation, they become unstable when implemented with short word-length. The process in the frequency domain causes the aliasing that makes residual error worse. In this paper, we propose the alias free subband adaptive digital filter based on the RLS algorithm that can reduce the computational complexity and the necessary word-length.
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Keyword(in English) alias free subband adaptive digital filter / recursive least squares / finite word-length arithmetic
Paper # CAS2006-20,VLD2006-33,SIP2006-43
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Committee SIP
Conference Date 2006/6/16(1days)
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Registration To Signal Processing (SIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Alias Free Subband Adaptive Digital Filter based on Recursive Least Squares Algorithm for Fixed Point Arithmetic
Sub Title (in English)
Keyword(1) alias free subband adaptive digital filter
Keyword(2) recursive least squares
Keyword(3) finite word-length arithmetic
1st Author's Name Kota ENDO
1st Author's Affiliation Department of Electrical Engineering, Tokyo Metropolitan University()
2nd Author's Name Kiyoshi NISHIKAWA
2nd Author's Affiliation Department of Electrical Engineering, Tokyo Metropolitan University
3rd Author's Name Hitoshi KIYA
3rd Author's Affiliation Department of Electrical Engineering, Tokyo Metropolitan University
Date 2006-06-23
Paper # CAS2006-20,VLD2006-33,SIP2006-43
Volume (vol) vol.106
Number (no) 116
Page pp.pp.-
#Pages 6
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