Blind Source Separation in the Time-Frequency Domain Based on Multiple Hypothesis Testing

Abstract

This paper considers a time-frequency (t-f)-based approach for blind separation of nonstationary signals. In particular, we propose a time-frequency "point selection" algorithm based on multiple hypothesis testing, which allows automatic selection of auto- or cross-source locations in the time-frequency plane. The selected t-f points are then used via a… (More)
DOI: 10.1109/TSP.2007.914316

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Cite this paper

@article{Cirillo2008BlindSS, title={Blind Source Separation in the Time-Frequency Domain Based on Multiple Hypothesis Testing}, author={Luke A. Cirillo and Abdelhak M. Zoubir and Moeness G. Amin}, journal={IEEE Transactions on Signal Processing}, year={2008}, volume={56}, pages={2267-2279} }