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.
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