DocumentCode :
3298070
Title :
Design and implementation of an ideal Hilbert transformer using neural networks
Author :
Hiroi, Atsushi ; Endo, Katsuhisa ; Kamata, Hiroyuki ; Ishida, Yoshihisa
Author_Institution :
Dept. of Electron. & Commun., Meiji Univ., Kawasaki, Japan
Volume :
1
fYear :
1993
fDate :
19-21 May 1993
Firstpage :
292
Abstract :
A method for approximately realizing ideal Hilbert transformers is presented. Ideal Hilbert transformers with two-sided impulse response can be obtained by the parallel connection of causal and noncausal digital filters using time reversal techniques. A noncausal filter is simply designed from a causal filter. The authors have designed and implemented an ideal discrete Hilbert transformer by the use of the proposed method, and give a few applications to digital signal processing
Keywords :
Hilbert transforms; digital filters; multilayer perceptrons; transient response; design; digital filters; digital signal processing; ideal discrete Hilbert transformer; implementation; neural networks; time reversal techniques; two-sided impulse response; Digital filters; Frequency response; IIR filters; Neural networks; Signal design; Signal processing; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and Signal Processing, 1993., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0971-5
Type :
conf
DOI :
10.1109/PACRIM.1993.407166
Filename :
407166
Link To Document :
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