Robust design of envelope-constrained filters in the presence ofinput uncertainty

Authors:
Wei Zheng;A. Cantoni;Kok Teo
Affiliations:
Dept. of Math., Western Sydney Univ., NSW;-;-
Venue:
IEEE Transactions on Signal Processing
Year:
1996

Citing 0
Cited 3

Design and Analysis of Robust Binary Filters in the Context of a Prior Distribution for the States of Nature

Journal of Mathematical Imaging and Vision
Nonlinear Filter Design Using Envelopes

Journal of Mathematical Imaging and Vision
Optimal robust classifiers

Pattern Recognition

Quantified Score

Hi-index	35.68

Visualization

Abstract

The maximum robustness design of envelope-constrained filters with uncertain input (ECUI) is formulated as a minimax optimization problem in which the set of feasible filters is characterized by nonsmooth matrix inequalities. An efficient design algorithm is developed to solve this problem by use of a newly developed transformation technique. The attractive feature of this algorithm is that the ECUI filter thus designed can allow for the greatest uncertainty in the input signal while still achieving the acceptable filter performance