A Robust Orthogonal Adaptive Approach to SISO Deconvolution

A Robust Orthogonal Adaptive Approach to SISO Deconvolution

This paper formulates in a common framework some results from the fields of robust filtering, function approximation with orthogonal basis, and adaptive filtering, and applies them for the design of a general deconvolution processor for SISO systems. The processor is designed to be robust to small parametric uncertainties in the system model, with a partially adaptive orthogonal structure. A si...

A New Approach to Adaptive Robust Control

A new approach is given for the design of adaptive robust control in the frequency domain. Starting with an initial model of a stable plant and a robust stabilizing controller, the new (windsurfer) approach allows the bandwidth of the closed-loop system to he increased progressively through an iterative controlrelevant system identification and control design procedure. The method deals with bo...

Two-Dimensional Blind Deconvolution Using a Robust GCD Approach

In this paper we examine the applicability of the previously proposed Greatest Common Divisor GCD method to blind image deconvolution In this method the desired image is approximated as the GCD of the two dimensional polynomials corresponding to the z transforms of two or more distorted and noisy versions of the same scene assuming that the distortion lters are FIR and relatively co prime We ju...

Blind image deconvolution using a robust GCD approach

In this correspondence, a new viewpoint is proposed for estimating an image from its distorted versions in presence of noise without the a priori knowledge of the distortion functions. In z-domain, the desired image can be regarded as the greatest common polynomial divisor among the distorted versions. With the assumption that the distortion filters are finite impulse response (FIR) and relativ...

A fractional representation approach to the robust regulation problem for SISO systems