Separating More Sources Than Sensors Using Time-Frequency Distributions

@article{LinhTrung2005SeparatingMS,
  title={Separating More Sources Than Sensors Using Time-Frequency Distributions},
  author={N. Linh-Trung and A. Belouchrani and K. Abed-Meraim and B. Boashash},
  journal={EURASIP Journal on Advances in Signal Processing},
  year={2005},
  volume={2005},
  pages={1-20}
}
We examine the problem of blind separation of nonstationary sources in the underdetermined case, where there are more sources than sensors. Since time-frequency (TF) signal processing provides effective tools for dealing with nonstationary signals, we propose a new separation method that is based on time-frequency distributions (TFDs). The underlying assumption is that the original sources are disjoint in the time-frequency (TF) domain. The successful method recovers the sources by performing… Expand
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