DocumentCode
46747
Title
Maximally Decimated Paraunitary Linear Phase FIR Filter Bank Design via Iterative SVD Approach
Author
Ling, Bingo Wing-Kuen ; Nili Tian ; Ho, Charlotte Yuk-Fan ; Wan-Chi Siu ; Kok-Lay Teo ; Qingyun Dai
Author_Institution
Fac. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou, China
Volume
63
Issue
2
fYear
2015
fDate
Jan.15, 2015
Firstpage
466
Lastpage
481
Abstract
A necessary and sufficient condition for M-channel maximally decimated paraunitary FIR filter banks is derived when the lengths of all the filters are the same and they are integer multiples of M. Based on the derived condition, a family of this kind of filter banks is defined. These results are also applied to the corresponding linear phase filter banks. Then, the design of this type of filter banks with the linear phase property is formulated as two orthogonal Procrustes optimization problems. The analytical solution of each optimization problem is derived based on a singular value decomposition approach. Since no numerical optimization computer aided design tool is required for finding the analytical solution of each optimization problem, the computational power required for our proposed method is much lower than that for existing methods. Computer numerical simulation results show that our proposed method can obtain a design instantaneously.
Keywords
FIR filters; channel bank filters; integer programming; iterative methods; linear phase filters; singular value decomposition; M-channel maximally decimated paraunitary linear phase FIR filter bank design; computational power; computer numerical simulation; finite impulse response filter bank; integer multiple; iterative SVD Approach; orthogonal Procruste optimization problem; singular value decomposition approach; Filter banks; Finite impulse response filters; Lattices; Matrix decomposition; Optimization; Singular value decomposition; Sufficient conditions; $M$ -channel maximally decimated paraunitary linear phase FIR least squares filter bank design; Analytical solution; orthogonal Procrustes optimization;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2014.2371779
Filename
6960899
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