Title :
A novel neural network-based approach for designing digital filters
Author :
Zhao, Hui ; Yu, Juebang
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
A novel digital filter design approach based upon Neural Network Optimization (NNO) technique is proposed in the present paper. To demonstrate the feasibility of the NNO design approach; a Continuous Hopfield Neural Network (CHNN) model is chosen and the relation between the MSE criterion and the Lyapunov function is also established. The implementation of the NNO digital filter design is described together with some design guidelines. A few linear phase FIR filter design examples are given and the advantages of the NNO approach over conventional design techniques are illustrated
Keywords :
FIR filters; Hopfield neural nets; Lyapunov methods; circuit CAD; delay circuits; digital filters; filtering theory; iterative methods; optimisation; MSE criterion; continuous Hopfield neural network model; digital filter design; neural network optimization technique; neural network-based approach; Design optimization; Digital filters; Finite impulse response filter; Frequency response; Hafnium; Hopfield neural networks; Multidimensional signal processing; Neural networks; Radar signal processing; Sampling methods;
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
DOI :
10.1109/ISCAS.1997.612775
