[IPOL announce] new article: Interpolation of Missing Samples in Sound Signals Based on Autoregressive Modeling
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Thu Oct 18 00:02:47 CEST 2018
A new article is available in IPOL: http://www.ipol.im/pub/art/2018/23/
Laurent Oudre,
Interpolation of Missing Samples in Sound Signals Based on
Autoregressive Modeling,
Image Processing On Line, 8 (2018), pp. 329–344.
https://doi.org/10.5201/ipol.2018.23
Abstract
This article proposes an implementation and a study of the paper
'Adaptive Interpolation of Discrete-Time Signals That Can Be Modeled as
Autoregressive Processes' by Janssen et al. The algorithm presented in
this paper allows one to reconstruct an audio signal which presents
localized degradations by interpolating the missing samples. This method
assumes that the signal can locally be modeled as a realization of an
autoregressive process and iteratively estimates the model parameters
and the interpolated samples by minimizing a quadratic criterion. We
investigate the limits and the algorithmic aspects of this method on
several audio examples.
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