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Hybrid representations for audiophonic signal encoding (2002)
| Venue: | Signal Processing |
| Citations: | 63 - 18 self |
BibTeX
@ARTICLE{Daudet02hybridrepresentations,
author = {L. Daudet and B. Torr Ésani},
title = {Hybrid representations for audiophonic signal encoding},
journal = {Signal Processing},
year = {2002},
volume = {82},
pages = {1595--1617}
}
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Abstract
Abstract. We discuss in this paper a new approach for signal models in the context of audio signal encoding. The method is based upon hybrid models featuring transient, tonal and stochastic compo-nents in the signal. Contrary to several existing approaches, our method does not rely on any prior segmentation of the signal. The three components are estimated and encoded using a strategy very much in the spirit of transform coding. While the details of the method described here are taylored to audio signals, the general strategy should also apply to other types of signals exhibiting significantly different features, for example images. 1.
