Nonlinear Blind Source Separation Algorithm Using Multi-universe Parallel Quantum Genetic Algorithm
基于多宇宙并行量子遗传算法的非线性盲源分离算法研究

This paper analyzes the model and algorithm of Nonlinear Blind Source Sepa-ration(NBSS) systematically, proposes a novel NBSS algorithm based on mutual cumulates, and puts forward a new optimum method using Multi-universe Parallel Quantum Genetic Algorithm(MPQGA). The simulation result demonstrates the effectiveness of the algorithm.