计算机工程2012，Vol.38Issue(11)：170-172,176,4.DOI:10.3969/j.issn.1000-3428.2012.11.052
基于量子遗传算法的盲源分离时延优选
Optimal Selection of Time Delay for Blind Source Separation Based on Quantum Genetic Algorithm
曹军宏 1韦灼彬 2高屹 1张宁1
作者信息
- 1. 海军工程大学后勤指挥与工程系,天津300450
- 2. 海军装备研究院舰船所,北京100161
- 折叠
摘要
Abstract
Aiming at the optimal selection problem of time delay for temporal blind source separation, a novel method of optimal selection of time lags based on Quantum Genetic Algorithm(QGA) is proposed. The chromosome is adopted. The random observation the quantum collapse combines with time delay to structure populations. After simultaneous approximate diagonalization of several second order correlation matrices, the fitness function based negentropy is constructed. Chromosome update is achieved through quantum rotating gate. Simulation experimental result shows that QGA has more rapid convergence and better global search capacity than other algorithms.关键词
量子遗传算法/量子计算/盲源分离/TDSEP算法/时间信号/时延优化Key words
Quantum Genetic Algorithm(QGA)/ quantum computation/ blind source separation/ TDSEP algorithm/ time signal/ time delay optimization分类
信息技术与安全科学引用本文复制引用
曹军宏,韦灼彬,高屹,张宁..基于量子遗传算法的盲源分离时延优选[J].计算机工程,2012,38(11):170-172,176,4.
