Title :
Interpolation of missing samples for audio restoration
Author :
Fitzgerald, William J.
fDate :
4/14/1994 12:00:00 AM
Abstract :
The aim of the Letter is to outline a method for restoring missing samples in digital audio signals. The section of audio signal in question is modelled as a stationary autoregressive process, and missing samples are imputed using a Markov chain Monte Carlo approach known as the Gibbs sampler. Experimental results indicate superior performance to other techniques
Keywords :
Markov processes; Monte Carlo methods; audio recording; audio signals; digital signals; interpolation; signal processing; Gibbs sampler; Markov chain Monte Carlo approach; audio recording; audio restoration; digital audio signals; interpolation; missing samples; stationary autoregressive process;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19940458
