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A new method for estimating Score Function Difference (SFD) and its application to Blind Source Separation

Bahmani, B ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. Publisher: 2005
  3. Abstract:
  4. Score Function Difference (SFD) is a recently proposed "gradient" for mutual information which can be used in Blind Source Separation algorithms based on minimization of mutual information. To be applied to practical problems, SFD must be estimated from the data samples. In this paper, a new method for estimating SFD is proposed. To compare the performance of this new estimator with other proposed SFD estimation methods, we have applied them in separating linear instantaneous mixtures. It will be seen that our method performs superior to all other methods previously proposed for estimation of SFD
  5. Keywords:
  6. Data sample ; Estimation methods ; Instantaneous mixtures ; Mutual informations ; Practical problems ; Score function differences ; Algorithms ; Blind source separation ; Signal processing ; Estimation
  7. Source: 13th European Signal Processing Conference, EUSIPCO 2005, Antalya, 4 September 2005 through 8 September 2005 ; 2005 , Pages 1507-1510 ; 1604238216 (ISBN); 9781604238211 (ISBN)
  8. URL: https://ieeexplore.ieee.org/abstract/document/7078256