DocumentCode :
1479639
Title :
Efficient and fast iterative reweighted least-squares nonrecursive filters
Author :
Jou, Yue-Dar ; Hsieh, Chaur-Heh ; Kuo, Chung-Ming
Author_Institution :
Dept. of Comput. & Inf. Sci., Chinese Mil. Acad., Kaohsiang, Taiwan
Volume :
35
Issue :
1
fYear :
1999
fDate :
1/7/1999 12:00:00 AM
Firstpage :
7
Lastpage :
8
Abstract :
An efficient and fast technique for designing Lp approximation filters using the iterative reweighted least-squares (IRLS) algorithm is proposed. This technique introduces an extra frequency response which implicitly includes the weighting function such that the filter coefficients can be obtained with O(N2) complexity
Keywords :
digital filters; frequency response; iterative methods; least squares approximations; Lp approximation filter; design; frequency response; iterative reweighted least squares algorithm; nonrecursive filter;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19990007
Filename :
749185
Link To Document :
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