caa a22 4500 606205438 CHVBK 20210128101007.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s00034-015-0035-3 doi (NATIONALLICENCE)springer-10.1007/s00034-015-0035-3 A Time-Frequency Domain Blind Source Separation Method for Underdetermined Instantaneous Mixtures [Elektronische Daten] [Tianliang Peng, Yang Chen, Zengli Liu] We propose a new method for underdetermined blind source separation based on the time-frequency domain. First, we extract the time-frequency points that are occupied by a single source, and then, we use clustering methods to estimate the mixture matrix A. Second, we use the parallel factor (PARAFAC), which is based on nonnegative tensor factorization, to synthesize the estimated source. Simulations using mixtures of audio and speech signals show that this approach yields good performance. Springer Science+Business Media New York, 2015 Underdetermined blind source separation nationallicence Time-frequency nationallicence PARAFAC nationallicence Nonnegative tensor factorization nationallicence Peng Tianliang School of Information Science and Engineering, Southeast University, 210018, Nanjing, China aut Chen Yang School of Information Science and Engineering, Southeast University, 210018, Nanjing, China aut Liu Zengli Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/12(2015-12-01), 3883-3895 0278-081X 34:12<3883 2015 34 34 https://doi.org/10.1007/s00034-015-0035-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-0035-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Peng Tianliang School of Information Science and Engineering, Southeast University, 210018, Nanjing, China aut NATIONALLICENCE 700 1- Chen Yang School of Information Science and Engineering, Southeast University, 210018, Nanjing, China aut NATIONALLICENCE 700 1- Liu Zengli Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/12(2015-12-01), 3883-3895 0278-081X 34:12<3883 2015 34 34