Overcomplete Blind Source Separation of Finite Alphabet Sources

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概要

• 論文の詳細を見る

• We propose a blind source separation algorithm for the mixture of finite alphabet sources where sensors are less than sources. The algorithm consists of an update equation of an estimated mixing matrix and enumeeration of the inferred sources. We present the bound of a step size for the stability of the algorithm and two methods of assignment of the initial point of the estimated mixing matrix. Simulation results verify the proposed algorithm.

• 社団法人電子情報通信学会の論文
• 2001-01-01

著者

• Park D‐j

  Korea Advanced Inst. Sci. And Technol. Daejeon Kor

• Ihm Bin-chul

  The Authors Are With The Department Of Electrical Engineering Korea Advanced Institute Of Science An

• Kwon Young-hyun

  The Authors Are With The Department Of Electrical Engineering Korea Advanced Institute Of Science An

• PARK Dong-Jo

  The authors are with the Department of Electrical Engineering, Korea Advanced Institute of Science a

関連論文

• Robust Centroid Target Tracker Based on New Distance Features in Cluttered Image Sequences
• Adaptive Blind Source Separation Using Weighted Sums of Two Kinds of Nonlinear Functions
• Overcomplete Blind Source Separation of Finite Alphabet Sources

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