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
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;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112523
