Title :
Combinational neural net for adaptive filtering
Author :
Dong, Guojie ; Ling, Xieting
Author_Institution :
Dept. of Electr. Eng., Fundan Univ., Shanghai, China
Abstract :
An electronic circuit which is based on the idea of combinational neural nets to perform adaptive filtering is presented. This filter can get the optimum filter coefficients in each sampling period since the neural net has fast parallel calculation ability. Therefore, the adaptive speed of the filter is very fast. It is shown by analysis that the network is guaranteed to obtain the correct coefficients of the optimum filter within time τ=RC. The simulation results of the filter by SPICE are shown
Keywords :
adaptive filters; circuit CAD; digital simulation; neural nets; SPICE; adaptive filtering; coefficients; combinational neural nets; optimum filter; parallel calculation ability; sampling period; simulation results; Adaptive filters; Biological neural networks; Brain modeling; Electronic circuits; Master-slave; Nervous system; Neural networks; Neurons; SPICE; Sampling methods;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176632
