2008, English, Article edition: A nonlinear source separation approach for the Nicolsky-Eisenman model Duarte, Leonardo Tomazeli; Jutten, Christian

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Bookmark: http://trove.nla.gov.au/version/206509
Physical Description
  • text
Published
  • HAL - CCSD
  • 2008
Language
  • English

Edition details

Title
  • A nonlinear source separation approach for the Nicolsky-Eisenman model
Author
  • Duarte, Leonardo Tomazeli
  • Jutten, Christian
Published
  • HAL - CCSD
  • 2008
Physical Description
  • text
Subjects
Notes
  • In previous works [7, 8], we proposed source separation methods or a simplified version of the Nicolsky-Eisenman (NE) model, which is related to a chemical sensing application. In the present paper, we provide a method able to deal with the complete NE model. Basically, such a model can be seen as a composition of a non-diagonal nonlinear transformation followed by a diagonal nonlinear transformation, i.e. a set of component-wise functions. The basic idea behind the developed technique is to estimate the parameters of these two stages in a separate fashion by using a prior knowledge of the sources, namely the fact that one of the sources is constant during a certain period of time. Simulations attest the viability of the proposed technique.
  • HAL:hal-00315868, version 1
  • HAL:http:/​/​hal.archives-ouvertes.fr/​hal-00315868/​en/​
Language
  • English
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