Blind Separation of Sources Using Temporal Correlation of the Observed Signals

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概要

• 論文の詳細を見る

• This paper proposes a new method for recovering the original signals from their linear mixtures observed by the same number of sensors. It is performed by identifying the linear transform from the sources to the sensors, only using the sensor signals. The only assumption on the source signals is basically the fact that they are statistically mutually independent. In order to perform the 'blind' identification, some time-correlational information in the observed signals are utilized. The most important feature of the method is that the full information of available time-correlation data (second-order statistics) is evaluated, as opposed to the conventional methods. To this end, an information-theoretic cost function is introduced, and the unknown linear transform is found by minimizing it. The proposed method gives a more stable solution than the conventional methods.

• 社団法人電子情報通信学会の論文
• 1997-04-25

著者

• Kawamoto Mitsuru

  Department Of Control Engineering Kyushu Institute Of Technology

• MATSUOKA Kiyotoshi

  Department of Control Engineering, Kyushu Institute of Technology

• OYA Masahiro

  Department of Control Engineering, Kyushu Institute of Technology

• Oya Masahiro

  Department Of Control Engineering Kyushu Institute Of Technology

• Matsuoka Kiyotoshi

  Department Of Control Engineering Kyushu Institute Of Technology

関連論文

• Blind Separation of Sources Using Temporal Correlation of the Observed Signals
• Blind Deconvolution of MIMO-FIR Systems with Colored Inputs Using Second-Order Statistics
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