Frequency domain convolution blind source separation multi-band and multi-centroid clustering sorting method

The present invention discloses a frequency domain convolution blind source separation multi-band and multi-centroid clustering sorting method. The method comprises the steps of: (1) performing overlapping grouping of full-band signals, wherein the whole frequency band is uniformly divided into a plurality of sub bands, and overlapping frequency bands are arranged between the sub bands; (2) in each sub band, performing multi-centroid clustering and single-centroid clustering in order; (3) finding out frequency bands with failed sorting, performing resorting of the band signals to maximize thesum of coefficients of association of a separative signal amplitude envelope and a clustering center at the frequency band; and (4) traversing all the sub bands in order to complete sorting of the full-band signals. The frequency domain convolution blind source separation multi-band and multi-centroid clustering sorting method employs an overlapping sub-band multi-centroid clustering method to improve the clustering cente