A Class of Bounded Component Analysis Algorithms for the Separation of Both Independent and Dependent Sources

@article{Erdogan2013ACO,
  title={A Class of Bounded Component Analysis Algorithms for the Separation of Both Independent and Dependent Sources},
  author={Alper T. Erdogan},
  journal={IEEE Transactions on Signal Processing},
  year={2013},
  volume={61},
  pages={5730-5743}
}
Bounded Component Analysis (BCA) is a recent approach which enables the separation of both dependent and independent signals from their mixtures. In this approach, under the practical source boundedness assumption, the widely used statistical independence assumption is replaced by a more generic domain separability assumption. This article introduces a geometric framework for the development of Bounded Component Analysis algorithms. Two main geometric objects related to the separator output… CONTINUE READING
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