A blind separation approach for magnitude bounded sources

@article{Erdogan2005ABS,
  title={A blind separation approach for magnitude bounded sources},
  author={Alper T. Erdogan},
  journal={Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.},
  year={2005},
  volume={5},
  pages={v/177-v/180 Vol. 5}
}
A novel blind source separation approach for channels with and without memory is introduced. The proposed approach makes use of a pre-whitening procedure to convert the original convolutive channel into a lossless and memoryless one. Then, a blind subgradient algorithm, which corresponds to an l/sub /spl infin// norm based criterion, is used for the separation of sources. The proposed separation algorithm exploits the assumed boundedness of the original sources and it has a simple update rule… CONTINUE READING