Title :
Design of IIR filters with arbitrary amplitude and phase responses by feedback neural networks
Author :
Bhattacharya, Debajit ; Antoniou, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
Abstract :
A Hopfield-type neural network for the design of IIR digital filters with given amplitude and phase responses is proposed. The all analog network computes the filter coefficients in real time. The network is simulated and an example is included to show that this is an efficient way of solving the approximation problem. The approach has high potential for implementation in analog VLSI
Keywords :
Hopfield neural nets; IIR filters; VLSI; digital filters; neural chips; real-time systems; Hopfield-type neural network; IIR filters; all analog network; analog VLSI; approximation problem; arbitrary amplitude response; arbitrary phase response; feedback neural networks; filter coefficients; real time computation; Analog computers; Band pass filters; Digital filters; Finite impulse response filter; Hopfield neural networks; IIR filters; Neural networks; Neurofeedback; Neurons; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.541632
