Research and development on signal separation techniques which can work effectively for interfaces

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The objective of the research project is to propose the separation method for recovering moving sources and bangs from their mixtures. As for the method for separating moving sources, we have proposed three kinds of methods : 1. An eigenvector algorithms, 2 A super-exponential method, and 3 A beamforming. The eigenvector algorithm can work such that the desired solution for recovering sources can be obtained with one iteration. The super-exponential method can work so that the desired solution for recovering sources can be obtained with exponential rate. On the beamforming, at first, the localization of moving sources is implemented and then based on the information on the localization, the beamforming is applied to recover the moving sources. Among the three proposed method, the third one is best for separating moving sources. As for the method for separating bangs, we consider that the bang can be recovered by using the third method. On the problem of what are suitable methods for the interface between human and machine, we will continue to investigate its solutions.