2007, English, Article edition: Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem Noorshams, Nima; Babaie-Zadeh, Massoud; Jutten, Christian

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Bookmark: http://trove.nla.gov.au/version/206629
Physical Description
  • text
Published
  • HAL - CCSD
  • 2007
Language
  • English

Edition details

Title
  • Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem
Author
  • Noorshams, Nima
  • Babaie-Zadeh, Massoud
  • Jutten, Christian
Published
  • HAL - CCSD
  • 2007
Physical Description
  • text
Subjects
Notes
  • We propose a new method for estimating the mixing matrix, A, in the linear model , for the problem of underdetermined Sparse Component Analysis (SCA). Contrary to most previous algorithms, there can be more than one dominant source at each instant (we call it a “multiple dominant” problem). The main idea is to convert the multiple dominant problem to a series of single dominant problems, which may be solved by well-known methods. Each of these single dominant problems results in the determination of some columns of A. This results in a huge decrease in computations, which lets us to solve higher dimension problems that were not possible before.
  • HAL:hal-00173370, version 1
  • HAL:http:/​/​hal.archives-ouvertes.fr/​hal-00173370/​en/​
Language
  • English
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