On 2-D Digital Filter Design by the Adaptive Differential Correction Algorithm
This work reports on a 2-D recursive digital filter design procedure based on magnitude squared approximation in minimax norm followed by stabilization. The magnitude squared function is designed with a new version of the adaptive differential-correction algorithm and the stabilization is obtained by means of spectral factorization. The proposed procedure has shown itself to be effective and robust after extensive testing. Several filter design examples illustrating its main features are presented.
KeywordsFilter Design Spectral Factorization Constraint Point Recursive Filter Speech Signal Processing
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