Blind deconvolution through digital signal processing

Abstract

This paper addresses the problem of deconvolving two signals when both are unknown. The authors call this problem blind deconvolution. The discussion develops two related solutions which can be applied through digital signal processing in certain practical cases. The case of reverberated and resonated sound forms the center of the development. The specific problem of restoring old acoustic recordings provides an experimental test. The important effects of noise and non-stationary signals lead to the detailed part of the presentation. In addition, the paper presents results for the case of images degraded by some common forms of blur.

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