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The paper researchs the BSS application in audio separation. It gives a detailed analysis of audio mixtures separation, including a brief introduction of genetic algorithm and proposes an optimized analysis model for the audio separation. The analysis model avoids shortcomings of the traditional analysis which do not have a good as-tringency and the astringency influenced by step-length.
In recent works, blind source separation (BSS) is arising as a promising approach to the biomedical application. From the BSS point of view, fetal electrocardiogram (FECG) extraction is achieved through the estimation of the independent sources of fetal cardiac bioelectric activity. In this contribution, a BSS method based on higher-order statistics is contrasted with a significant classical technique...
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