Title :
Stabilization of two-dimensional recursive filters
Author :
Chang, Hyokang ; Aggarwal, J.K.
Author_Institution :
The University of Texas at Austin, Austin, Texas
Abstract :
In this paper we present a new stabilization procedure based on the spectral factorization capability of PLSI (planar least square inverse) polynomials of semicausal form. It is not involved with an intermediate PLSI polynomial since stabilization of an unstable filter is directly obtained from its autocorrelation function. We also introduce a measure of amplitude distortion due to stabilization. The new procedure offers a remedy for flaws in Shanks´ original procedure for stabilization.
Keywords :
Autocorrelation; Distortion measurement; Equations; Frequency; Least squares approximation; Least squares methods; Nonlinear filters; Polynomials; Stability;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.
DOI :
10.1109/ICASSP.1979.1170698