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Restoration of Nonlinearly Distorted Audio Using Markov Chain Monte Carlo Methods

We present a method for restoration of audio which has been distorted by a nonlinear channel or recording medium. We model the signal as a linear process cascaded with a nonlinear distortion. We use sampling methods to perform model selection and parameter estimation. We allow the linear model to be nonstationary, and present results for both synthetic and real distortions.

Authors: Troughton, Paul T.; Godsill, Simon J.
Affiliation: University of Cambridge, Cambridge, UK
AES Convention:104 (May 1998) Paper Number:4679 Import into BibTeX
Subject:Recording Restoration and Enhancement

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