DOI QR코드

DOI QR Code

Blind Signal Separation Method using Hough Transform

Hough 변환을 이용한 암묵신호분리방법

  • 이행우 (남서울대학교 정보통신공학과)
  • Received : 2014.08.04
  • Accepted : 2014.08.18
  • Published : 2014.09.30

Abstract

This paper is on the blind signal separation(BSS) method by the geometric method. To separate the signal sources, we use Hough transform and BSS. Hough transform is a geometric method which let us know the local informations of the signal. We find the orientations of signals by Hough transform and know the number of signal sources. When the number of sensors is more than the number of sources. the BSS algorithm can separate the mixtures well in the time domain. This algorithm has a good performance in converging fast. We had checked up the quality of the algorithm after separating the mixed signals. The results of simulations show that this BSS method has the abnormal waveforms due to unconverging coefficients in the beginning, and stably has the separated waveforms which almost equal to the sources in the most period.

Keywords

References

  1. P. Comon, "Independent component analysis, A new concept," Signal Processing, vol. 36, 1994, pp. 287-314. https://doi.org/10.1016/0165-1684(94)90029-9
  2. D. T. Pham, Ph. Garat and C. Jutten, "Separation of a mixture of independent sources through a maximum likelyhood approach," Signal Processing VI: Theories and Applications, Aug. 1992, pp. 771-774.
  3. H. Saruwatari, T. Kawamura, and K. Shikano, "Blind Source Separation for Speech Based on Fast Convergence Algorithm with ICA and Beamforming," Proceedings of the Eurospeech 2001, Sep. 2001, pp. 2603-2606.
  4. Bell A. J., Sejnowski T. J., "An Information Maximization Approach to Blind Separation and Blind Deconvolution," Neural Computation, vol. 7, 1995, pp. 1129-1159. https://doi.org/10.1162/neco.1995.7.6.1129
  5. Kari Torkkola, "Blind Separation of Convolved Sources Based on Information Maximization," Neural Networks for Signal Processing, IEEE Signal Processing Society Workshop, 1996.
  6. J. K. Lin, D. G. Grier, and J. D. Cowan, "Feature Extraction Approach to Blind Source Separation," IEEE Workshop on Neural Networks for Signal Processing, 1997, pp. 98-405.
  7. 이행우, "암묵신호분리를 이용한 스테레오 음향반향제거기," 디지털산업정보학회 논문지, 제8권 제3호, 2012, pp. 125-131.