Revision and Comparison of Blind Source Separation Algorithm Based on Maximum Signal Noise Ratio
Gao Bao-cheng · Computer and Information Technology · 2009
This paper revises the blind source separation algorithm based on maximum signal noise ratio and solves the problem of losing the effect under some conditions of the original algorithm.This paper also compares and analyzes the separation performances of the above two and the algorithm based on global optimal property.Simulations show that the separation performances of the revised algorithm based on maximum signal noise ratio and the algorithm based on global optimal property are always similar,and they both solves the problem of losing the effect under some conditions of the original algorithm.