Blind signal extraction algorithm based on bacterial foraging optimization
基于细菌觅食优化的盲信号提取算法*

This paper proposed a new blind signal extraction algorithm based on bacterial foraging optimization. It used negentropy as the objective function for blind extraction and used spherical coordinates transformation principle for transforming extraction vector into rotation angle. Modified bacterial foraging optimization algorithm was used for optimizing the objective function and source signal could be extracted. All the source signal could be extracted successfully by using the process of extraction and deflation repetitively. Simulation result for speech signal blind extraction proves the validity of the blind extraction algorithm proposed.