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Performance Improvement of Entropy Maximization using MOSFC-Gradient Ascent

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2013, 8(2), pp.55-62
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : April 30, 2013

Young-Sub Kim 1 Lee youngjoo 1 Kwangseok Lee 2 Hur Kang In 1

1동아대학교
2경남과학기술대학교

Accredited

ABSTRACT

In this paper, we propose the method of MOSFC-Gradient Ascent improving the Gradient Ascent algorithm. This methodobtains fast convergence and accuracy of separate results in Entropy maximization method being one among the existingICA(Independent Component Analysis) with the method for performing the sound source separation. If Entropy is steadilyincreased, the proposed method will have characteristic of fast convergence through increase of learning constant. Also itwill define as search object of several demixing matrix made in random other start value. As searching optimal demixingmatrixs in parallel, the proposed method is retained on high demixing performance without decrease of convergence speedeven though number of mixed signals is increased.

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