Title :
Artificial neural network based stability testing of two-dimensional infinite impulse response digital filters
Author :
Aghili, Seyed M. ; Thursby, Michael H. ; Marpaka, D. Rao
Author_Institution :
Dept. of Electr. Eng., McNeese State Univ., Lake Charles, LA, USA
Abstract :
An alternative technique for testing the stability of a 2-D infinite impulse response (IIR) digital filter using artificial neural networks is presented. The technique provides a comprehensive solution for each class of filters and utilizes a network architecture with multiple synaptic weights
Keywords :
digital filters; neural nets; stability; testing; artificial neural networks; infinite impulse response digital filters; multiple synaptic weights; network architecture; stability testing; two-dimensional; Artificial neural networks; Computer architecture; Digital filters; Equations; IIR filters; Impulse testing; Lakes; Polynomials; Stability analysis; Transfer functions;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226052
