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Proceedings Paper

Study on sparse blinding separation based on the linear detection and STFT
Author(s): Hui-cheng Yang; Xiao-xue Wang
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Paper Abstract

This topic focuses on the underdetermined sparse blinding source separation from the mixtures. A novel algorithm is put forwards based on the linear direction detection and short-time Fourier transformation (STFT). This algorithm includes two stages: (1) the mixing matrix is estimated in the frequency domain by the STFT and a stochastic gradient algorithm; and (2) the linear programming method is applied to separate the source from the mixtures in the frequency and then the frequency domain source is transformed into the time domain source by the inverse STFT. Finally, some experimental results show that the algorithm is effective.

Paper Details

Date Published: 1 October 2011
PDF: 8 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828546 (1 October 2011); doi: 10.1117/12.913247
Show Author Affiliations
Hui-cheng Yang, Anhui Polytechnic Univ. (China)
Xiao-xue Wang, Anhui Polytechnic Univ. (China)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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