Title :
Fast polynomial transform algorithms for digital convolution
Author :
Nussbaumer, Henri J.
Author_Institution :
La Gaude Laboratory, IBM France, France
fDate :
4/1/1980 12:00:00 AM
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;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1980.1163372