Fast Convolution Using Generalized Sliding Fermat Number Transform with Application to Digital Filtering-Reference-Cited by-同舟云学术

Fast Convolution Using Generalized Sliding Fermat Number Transform with Application to Digital Filtering

Published:2012 Issue:6 Volume:E95.A Page:1007-1017
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

ALAEDDINE Hamzé Haidar¹,BAZZI Oussama²,ALAEDDINE Ali Haidar²,MOHANNA Yasser²,BUREL Gilles¹

Affiliation:

1. CNRS, Université de Brest

2. Department of Physics and Electronics, Faculty of Sciences 1, Lebanese University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E95.A/6/E95.A_1007/_pdf

Reference14 articles.

1. [1] J. Benesty, T. Gansler, D.R. Morgan, M.M. Sondhi, and S.L. Gay, Advances in Network and Acoustic Echo Cancellation, Springer-Verlag, 2001.

2. [2] D.L. Duttweiler, “Proportionate normalized least means square adaptation in echo cancelers,” IEEE Trans. Speech Audio Process., vol.8, no.5, pp.508-518, Sept. 2000.

3. [3] G.A. Clark, S.K. Mitra, and S.R. Parker, “Block implementation of adaptive digital filters,” IEEE Trans. Acoust. Speech Signal Process., vol.ASSP-29, no.6, pp.744-752, June 1981.

4. [4] E.H. Baghious, G. Madre, H. Alaeddine, and G. Burel, “Realization of adaptive blocks digital filters using Fermat Number Transform,” International Symposium on Image/Video Communications over fixed and mobile networks (ISIVC'04), Brest, France, July 2004.

5. [5] R.C. Agarwal and C.S. Burrus, “Number theoretic transform to implement fast digital convolution,” Proc. IEEE, vol.63, no.4, pp.550-560, April 1975.

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