DocumentCode :
1843939
Title :
Perfect reconstruction circular convolution filter banks and their application to the implementation of bandlimited discrete wavelet transforms
Author :
Bopardikar, Ajit S. ; Raghurveer, M.R. ; Adiga, B.S.
Author_Institution :
Center for Imaging Sci., Rochester Inst. of Technol., NY, USA
Volume :
5
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
3665
Abstract :
This paper introduces a new filter bank structure called the perfect reconstruction circular convolution (PRCC) filter bank. These filter banks satisfy the perfect reconstruction properties, namely, the paraunitary properties in the discrete frequency domain. We further show how the PRCC analysis and synthesis filter banks are completely implemented in this domain and give a simple and a flexible method for the design of these filters. Finally, we use this filter bank structure for a frequency sampled implementation of the discrete wavelet transform based on orthogonal bandlimited scaling functions and wavelets
Keywords :
band-pass filters; convolution; filtering theory; signal reconstruction; signal sampling; signal synthesis; transforms; wavelet transforms; analysis filter banks; bandlimited discrete wavelet transforms; discrete frequency domain; filter bank structure; filter banks design; frequency sampled implementation; orthogonal bandlimited scaling functions; paraunitary properties; perfect reconstruction circular convolution filter banks; perfect reconstruction properties; synthesis filter banks; Channel bank filters; Convolution; Design methodology; Discrete wavelet transforms; Filter bank; Frequency domain analysis; IIR filters; Image reconstruction; Pattern analysis; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.604661
Filename :
604661
Link To Document :
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