Blind Source Separation Algorithm Based on Maximum Signal Noise Ratio

@article{Ma2008BlindSS,
  title={Blind Source Separation Algorithm Based on Maximum Signal Noise Ratio},
  author={Jiancang Ma and Xiaobing Zhang},
  journal={2008 First International Conference on Intelligent Networks and Intelligent Systems},
  year={2008},
  pages={625-628}
}
A low computational complexity instantaneous linear mixture signals blind separation algorithm was proposed, which is based on the character that Signal Noise Ratio (SNR) is maximal when statistically independent source signals are completely separated, and it is used as a separation contrast. Source signals are replaced by moving average of estimate signals. The function of covariance matrixes of the source signals and noises was expressed by the generalized eigenvalue (GE) problem, and… CONTINUE READING

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