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Three easy ways for separating nonlinear mixtures?

Jutten, C ; Sharif University of Technology | 2004

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  1. Type of Document: Article
  2. DOI: 10.1016/j.sigpro.2003.10.011
  3. Publisher: 2004
  4. Abstract:
  5. In this paper, we consider the nonlinear Blind Source Separation BSS and independent component analysis (ICA) problems, and especially uniqueness issues, presenting some new results. A fundamental difficulty in the nonlinear BSS problem and even more so in the nonlinear ICA problem is that they are nonunique without a suitable regularization. In this paper, we mainly discuss three different ways for regularizing the solutions, that have been recently explored. © 2003 Elsevier B.V. All rights reserved
  6. Keywords:
  7. Independence ; Mutual information ; Nonlinear ; Source separation
  8. Source: Signal Processing ; Volume 84, Issue 2 , 2004 , Pages 217-229 ; 01651684 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0165168403002767