caa a22 4500 606206604 CHVBK 20210128101012.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00034-015-0027-3 doi (NATIONALLICENCE)springer-10.1007/s00034-015-0027-3 A Complex Mixing Matrix Estimation Algorithm Based on Single Source Points [Elektronische Daten] [Yibing Li, Wei Nie, Fang Ye] This paper considers the complex mixing matrix estimation in the under-determined blind source separation. An effective estimation algorithm through detecting single source points contributed by only one source is proposed. First, the single source points are detected by utilizing the real and the imaginary components of the time-frequency coefficients of mixed signals. The algorithm is suitable for the case in which the mixing matrix is complex, while traditional algorithms usually estimate the real mixing matrix. Then, through modeling and calculating, the mixing matrix of mixed signals can be estimated. Finally, the clustering process is improved in order to get more accurate results. The algorithm can estimate the complex mixing matrix when the number of sensors is less than that of sources. The experimental results validate the efficiency of the estimation algorithm. Springer Science+Business Media New York, 2015 Complex mixing matrix estimation nationallicence Under-determined blind source separation nationallicence Single source points nationallicence Time-frequency coefficients nationallicence Li Yibing College of Information and Communication Engineering, Harbin Engineering University, 150001, Harbin, China aut Nie Wei College of Information and Communication Engineering, Harbin Engineering University, 150001, Harbin, China aut Ye Fang College of Information and Communication Engineering, Harbin Engineering University, 150001, Harbin, China aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/11(2015-11-01), 3709-3723 0278-081X 34:11<3709 2015 34 34 https://doi.org/10.1007/s00034-015-0027-3 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/s00034-015-0027-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Yibing College of Information and Communication Engineering, Harbin Engineering University, 150001, Harbin, China aut NATIONALLICENCE 700 1- Nie Wei College of Information and Communication Engineering, Harbin Engineering University, 150001, Harbin, China aut NATIONALLICENCE 700 1- Ye Fang College of Information and Communication Engineering, Harbin Engineering University, 150001, Harbin, China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/11(2015-11-01), 3709-3723 0278-081X 34:11<3709 2015 34 34