Title :
Discrete Hilbert transform filtering
Author :
Sabri, M. Shaker ; Steenaart, Willem
Author_Institution :
Bell Northern Research, Ottawa, Ont., Canada
fDate :
10/1/1977 12:00:00 AM
Abstract :
A discrete filtering technique based on circular convolution is presented. The discrete Hilbert transform (DHT), in matrix form and other matrices for filtering by circular convolution, is shown to compare favorably with DFT and FFT filtering. The comparison is presented in terms of error accumulation.
Keywords :
Artificial intelligence; Convolution; DH-HEMTs; Discrete Fourier transforms; Discrete transforms; Fast Fourier transforms; Filtering; Low pass filters; Signal processing; Signal processing algorithms;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1977.1162991
