DocumentCode :
312474
Title :
Wavelet shrinkage denoising using paraunitary shift-invariant filter banks
Author :
Hui, Y. ; Kok, C.W. ; Nguyen, T.Q.
Author_Institution :
Wisconsin Univ., WI, USA
Volume :
1
fYear :
1997
fDate :
9-12 Jun 1997
Firstpage :
185
Abstract :
A new design method for shift-invariant (SI) wavelet filter bank (FB) is proposed and applied to wavelet shrinkage denoising. The SI wavelet transform obtained using the proposed method has better SI property than the conventional wavelet transform, which is highly desired in wavelet shrinkage denoising. Furthermore, orthogonality and dyadic structure are preserved, and computational complexity is reduced compared with those using the existing approaches. FB design examples, denoising results, and comparisons to the traditional orthogonal wavelet FB are presented
Keywords :
filtering theory; interference suppression; wavelet transforms; computational complexity; dyadic structure; orthogonality; paraunitary shift-invariant filter bank; wavelet shrinkage denoising; Channel bank filters; Computational complexity; Design methodology; Filter bank; Finite impulse response filter; Noise reduction; Signal design; Wavelet coefficients; Wavelet domain; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
Type :
conf
DOI :
10.1109/ISCAS.1997.608659
Filename :
608659
Link To Document :
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