de Fréin, Ruairí and Rickard, Scott T. and Pearlmutter, Barak A. (2008) Sparse Multichannel Source Localization and Separation. International Conference on Mathematics in Signal Processing, 8th . The Institute of Mathematics and its Applications, Cirencester, UK.
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Abstract
The DUET and DESPRIT blind source separation algorithms attempt to recover J sources from I mixtures of these sources, in the interesting case where J > I, with minimal information about the mixing environment of underling sources statistics. We present a semi-blind generalization of the DUET-DESCRIPT approach which allows arbitary placement of the sensors and demixes the sources given the room impulse response. We learn a sparse representation of the mixtures on an over-complete spatial signatures dictionary. We localize and separate the constituent sources via binary masking of a power weighted histogram in location space or in attenuation-delay space. We demonstrate the robustness of this technique using synthetic room experiments.
| Item Type: | Book |
|---|---|
| Departments or Groups: | Walton Institute for Information and Communications Systems Science |
| Divisions: | School of Science > Department of Computing, Maths and Physics |
| Depositing User: | Ruairi De Frein |
| Date Deposited: | 23 Aug 2016 11:27 |
| Last Modified: | 23 Aug 2016 11:27 |
| URI: | https://repository.wit.ie/id/eprint/3169 |
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