Frequency domain blind source separation has the great advantage that the complicated convolution in time domain becomes multiple efficient multiplications in frequency domain. However, the inherent ambiguity of permutation of ICA becomes an important problem that the separated signals at different frequencies may be permuted in order. Mapping the separated signal at each frequency to a target source remains to be a difficult problem. In this paper, we first discuss the inter-frequency correlation based method [1], and propose a new method using the continuity in power between adjacent frequency components of same source. The proposed method also implicitly utilizes the information of inter-frequency correlation, as such has better performance than the previous method. © Springer-Verlag 2004.
CITATION STYLE
Kamata, K., Hu, X., & Kobatake, H. (2004). A new approach to the permutation problem in frequency domain blind source separation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 849–856. https://doi.org/10.1007/978-3-540-30110-3_107
Mendeley helps you to discover research relevant for your work.