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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Christensen, M.G. Sturm, B.L. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. of Architecture, Design & Media Technology, Aalborg University, Denmark (Christensen, M.G.; Sturm, B.L.) |
| Abstract | In this paper, we consider the problem of finding sparse representations of audio signals for coding purposes. In doing so, it is of utmost importance that when only a subset of the present components of an audio signal are extracted, it is the perceptually most important ones. To this end, we propose a new iterative algorithm based on two principles: 1) a reweighted 1-norm based measure of sparsity; and 2) a reweighted 2-norm based measure of perceptual distortion. Using these measures, the considered problem is posed as a constrained convex optimization problem that can be solved optimally using standard software. A prominent feature of the new method is that it solves a problem that is closely related to the objective of coding, namely rate-distortion optimization. In computer simulations, we demonstrate the properties of the algorithm and its application to real audio signals. |
| Starting Page | 575 |
| Ending Page | 579 |
| File Size | 575433 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467303217 |
| ISSN | 10586393 |
| e-ISBN | 9781467303231 |
| DOI | 10.1109/ACSSC.2011.6190067 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vectors Distortion measurement Dictionaries Matching pursuit algorithms Encoding Speech Spectrogram audio modeling Audio coding sparse approximations perceptual distortion measures |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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