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Restoration of Coarsely Quantized Audio Signals Using Markov Chain Monte Carlo Methods

We present a statistical method for restoring audio signals which have been coarsely quantized without dither. The signal is modeled as a piecewise-stationary linear autoregressive process. Parameter and signal estimation are performed using sampling methods. To improve performance, sinusoidal components are incorporated into the model. Model order estimation and sinusoid selection are found to be crucial to the quality of the restoration.

Authors: Troughton, Paul T.; Godsill, Simon J.
Affiliation: University of Cambridge, Cambridge, UK
AES Convention:107 (September 1999) Paper Number:5055 Import into BibTeX
Subject:Digital Signal Processing

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