A one stage self-adaptive algorithm for source separation
- 17 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. iii (15206149) , III/49-III/52
- https://doi.org/10.1109/icassp.1994.390093
Abstract
In order to perform separation of a mixture of sources, an interesting approach is to maximise a contrast function: e.g. the contrast of Comon. This paper brings two novel contributions (i) a novel algorithm as proposed in order to adaptively maximise Comon's contrast. However it requires a preprocessing whitening operation which is awkward when the mixture is ill-conditioned. (ii) A new criterion is defined that is free of the prewhitening step. In the case of two sources it can be proved that this criterion is a contrast. This contrast can also be adaptively maximized and has the additional advantage not to require identical signs for the fourth-order cumulants of the sources. Achievement of these two adaptive algorithms is demonstrated using a new performance index.Keywords
This publication has 2 references indexed in Scilit:
- New self-adaptative algorithms for source separation based on contrast functionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Transient detection, higher-order time-frequency distributions and the entropyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002