[IPOL announce] new article: Interpolation of Missing Samples in Sound Signals Based on Autoregressive Modeling

[announcements about the IPOL journal]

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.