Adaptive Combination Algorithm and Its Modified Scheme for Blind Source Separation
Ou Shi-feng① Gao Ying① Zhao Xiao-hui②
①(Institute of Science and Technology for Opto-electronic Information, Yantai University, Yantai 264005, China) ②(College of Communication Engineering, Jilin University, Changchun 130012, China)
Abstract:By adaptively combining two separation systems with different step sizes, an adaptive combination algorithm is proposed for blind source separation. A smoothing parameter is used to adjust the proportion of the two systems in an attempt to put together the best properties of them. The adaptive updating rule for the smoothing parameter is obtained, and in view of the insufficiency of the proposed method, a concrete modified scheme is also presented. Experimental results demonstrate the good performance of the proposed approaches in stationary and non-stationary conditions.