DocumentCode
2662414
Title
Adaptive filtering using neural network integrated circuits
Author
Kaul, Richard ; Bibyk, Steven ; Ismail, Mohammed ; Andro, Monty
Author_Institution
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
fYear
1990
fDate
1-3 May 1990
Firstpage
2520
Abstract
How analog neural network techniques can be used to implement efficient adaptive filtering as a replacement to current digital implementations is discussed. Several experimental circuits and systems for analog adaptive signal processing are presented. An approach to vector quantization using these systems is discussed. The fabrication of a decision-directed filter using neural network techniques to improve the frequencies at which these filters may be used is examined
Keywords
adaptive filters; data compression; neural nets; adaptive filtering; analog adaptive signal processing; analog neural network techniques; decision-directed filter; experimental circuits; neural network integrated circuits; vector quantization; Adaptive filters; Circuit noise; Detectors; Digital systems; Frequency; Maximum likelihood detection; Neural network hardware; Neural networks; Signal processing; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location
New Orleans, LA
Type
conf
DOI
10.1109/ISCAS.1990.112523
Filename
112523
Link To Document