Postprocessing and sparse blind source separation of positive and partially overlapped data

@article{Sun2011PostprocessingAS,
  title={Postprocessing and sparse blind source separation of positive and partially overlapped data},
  author={Y. Sun and C. Ridge and F. del Rio and A. J. Shaka and J. Xin},
  journal={Signal Processing},
  year={2011},
  volume={91},
  pages={1838-1851}
}
We study sparse blind source separation (BSS) for a class of positive and partially overlapped signals. The signals are only allowed to have nonoverlapping at certain locations, while they could overlap with each other elsewhere. For nonnegative data, a novel approach has been proposed by Naanaa and Nuzillard (NN) assuming that nonoverlapping exists for each source signal at some location of acquisition variable. However, the NN method introduces errors (spurious peaks) in the output when their… CONTINUE READING

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