DocumentCode :
3524296
Title :
Optimal generalized design of transform-based block digital filters
Author :
Daher, Ali ; Baghious, El-Houssain ; Burel, Gilles
Author_Institution :
Lab. des Sci. et Tech. de l´´Inf., de la Commun. et de la Connaissance (LabSTICC), Brest
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
3193
Lastpage :
3196
Abstract :
Transform-based block implementation of digital filters is useful for high throughput filtering due to inherent parallelism and complexity reduction provided by using the fast transforms. In basic form, for example the overlap-save implementation, the block digital filter (BDF) is represented by a vector. In this paper, the basic form of block filtering and the optimal design of BDF are described. Therefore, we propose a generalization of the block digital filtering where the BDF is represented by a matrix. This generalized form and its corresponding optimal BDF design are developed. The generalized BDF allows reducing the global distortion of the block filtering.
Keywords :
digital filters; filtering theory; signal sampling; transforms; block filtering; optimal generalized design; signal sampling; transform-based block digital filter; Convolution; Digital filters; Discrete Fourier transforms; Fast Fourier transforms; Filtering; Finite impulse response filter; Frequency; IIR filters; Signal resolution; Signal synthesis; Block digital filtering; filter design; filtering distortion; overlap-save;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4960303
Filename :
4960303
Link To Document :
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