Study on sparse blinding separation based on the linear detection
and STFT

Hui-cheng Yang; Xiao-xue Wang

doi:10.1117/12.913247

1 October 2011 Study on sparse blinding separation based on the linear detection and STFT

Hui-cheng Yang, Xiao-xue Wang

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828546 (2011) https://doi.org/10.1117/12.913247
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

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.

Citation Download Citation

Hui-cheng Yang and Xiao-xue Wang "Study on sparse blinding separation based on the linear detection and STFT", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828546 (1 October 2011); https://doi.org/10.1117/12.913247

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KEYWORDS

Signal to noise ratio

Stochastic processes

Computer programming

Statistical analysis

Independent component analysis

Detection and tracking algorithms

Fourier spectroscopy

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