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Two-dimensional signal filters under modeling uncertainties

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3 Author(s)
S. Kassam ; Univ. of Pennsylvania, Philadelphia, PA ; Tong Lim ; L. Cimini

Matched and Wiener filters are considered for two-dimensional signal processing applications when the a priori information about signal and noise characteristics are not completely specified. This work is an extension of previous work on robust filters for one-dimensional processing. The approach is to design filters which are saddle-point or mini-max solutions for the criterion functional (mean-squared-error or signal-to-noise ratio) over the classes of allowable signal shapes and signal and noise spectral densities.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.  (Volume:4 )

Date of Conference:

Apr 1979