Title :
A family of discrete Fourier transforms with pseudo-cyclic convolution properties
Author_Institution :
National Institutes of Health, Bethesda, MD, USA
Abstract :
An extended family of Discrete Fourier transforms is introduced. These transforms, which may be implemented by using FFTs, allow the computation of pseudo-cyclic convolutions by multiplication in the transform domain. The choice of a suitable transform (DFT1/4) or the combined use of two complementary transforms allows a fast and efficient computation of aperiodic convolutions of waveforms of duration N by using N-point transforms that require no zero padding. Finally, all members of this family are shown to be equivalent asymptotically to the Karhunen-Loève transform of an arbitrary wide sense stationary process.
Keywords :
Algorithm design and analysis; Biomedical engineering; Biomedical signal processing; Convolution; Discrete Fourier transforms; Discrete transforms; Extrapolation; Fourier transforms; Instruments; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
DOI :
10.1109/ICASSP.1987.1169430