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
Link To Document :
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