We propose two time-frequency (TF) blind source separar tion (BSS) methods suited to attenuated and delayed (AD) mixtures. They consist in identifying the columns of the (filtered permuted) mixing matrix in Constant-Time TF zones where they detect that a single source occurs, using Time-Frequency Ratios Of Mixtures (hence their name AD-TIFROM-CT). We thus identify columns of scale coefficients and time shifts. Unlike various previously reported TF-BSS approaches, these methods set very limited constraints on the source sparsity and overlap. They are especially suited to non-stationary sources. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Puigt, M., & Deville, Y. (2006). Two time-frequency ratio-based blind source separation methods for time-delayed mixtures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3889 LNCS, pp. 682–690). https://doi.org/10.1007/11679363_85
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