DocumentCode :
1093681
Title :
Fast polynomial transform algorithms for digital convolution
Author :
Nussbaumer, Henri J.
Author_Institution :
La Gaude Laboratory, IBM France, France
Volume :
28
Issue :
2
fYear :
1980
fDate :
4/1/1980 12:00:00 AM
Firstpage :
205
Lastpage :
215
Abstract :
We have recently introduced new transforms, called polynomial transforms, which are defined in rings of polynomials and give efficient algorithms for the computation of multidimensional DFT´s and convolutions. In this paper we present a method for computing one-dimensional convolutions by polynomial transforms. We show that this method is computationally efficient, even for large convolutions, and can be implemented with FFT-type algorithms, while avoiding the use of trigonometric functions and complex arithmetic. We then extend this technique to complex convolutions and to multidimensional convolutions.
Keywords :
Acoustic signal processing; Arithmetic; Convolution; Digital signal processing; Helium; Multidimensional signal processing; Multidimensional systems; Polynomials; Signal processing algorithms; Speech processing;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/TASSP.1980.1163372
Filename :
1163372
Link To Document :
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