RESEARCH OF QUANTUM GENETIC ALGORITH AND ITS APPLICATION IN BLIND SOURCE SEPARATION

被引：58
|
作者：
Yang Junan Li Bin Zhuang Zhenquan (Department of Electronic Science & Technology
机构：
来源：
Journal of Electronics(China) | 2003年 / 01期
基金：
中国国家自然科学基金;
关键词：
Quantum computation; Genetic algorithm; Quantum genetic algorithm; Independent component analysis; Blind source separation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This letter proposes two algorithms: a novel Quantum Genetic Algorithm (QGA)based on the improvement of Han’s Genetic Quantum Algorithm (GQA) and a new Blind SourceSeparation (BSS) method based on QGA and Independent Component Analysis (ICA). Thesimulation result shows that the efficiency of the new BSS method is obviously higher than thatof the Conventional Genetic Algorithm (CGA).
引用
收藏
页码：62 / 68
页数：7
相关论文
共 50 条
  • [1] Multi-universe parallel quantum genetic algorithm and its application to blind source separation
    Yang, JA
    Li, ZQ
    Zhuang, ZQ
    PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2, 2003, : 393 - 398
  • [2] Quantum genetic algorithm and its application to blind image separation
    Yang, Jun'an
    Xie, Guangjun
    Zhuang, Zhenquan
    Guo, Li
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2003, 15 (07): : 847 - 852
  • [3] Blind source separation of mechanical fault based on quantum genetic algorithm
    Li, Zhi-Nong
    Pi, Hai-Yu
    Xiao, Yao-Xian
    Binggong Xuebao/Acta Armamentarii, 2014, 35 (10): : 1681 - 1688
  • [4] Research on Influence of Source Number Estimation on Application of Blind Source Separation Algorithms
    Wang Chuanchuan
    Xu Jiaqi
    Zeng Yonghu
    ADVANCES IN INFORMATION AND COMMUNICATION TECHNOLOGY, 2017, 107 : 379 - 384
  • [5] A SPARSE COMPONENT MODEL OF SOURCE SIGNALS AND ITS APPLICATION TO BLIND SOURCE SEPARATION
    Kitano, Yu
    Kameoka, Hirokazu
    Izumi, Yosuke
    Ono, Nobutaka
    Sagayama, Shigeki
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 4122 - 4125
  • [6] Research on blind source separation and blind beamforming
    Zhao, B
    Yang, JA
    Zhang, M
    Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 4389 - 4393
  • [7] From Blind Quantum Source Separation to Blind Quantum Process Tomography
    Deville, Yannick
    Deville, Alain
    LATENT VARIABLE ANALYSIS AND SIGNAL SEPARATION, LVA/ICA 2015, 2015, 9237 : 184 - 192
  • [8] Blind Source Separation for Convolutive Mixtures and Its Application to Machine Vibrations
    Huang, Weiguo
    Wu, Shuyou
    Kong, Fanrang
    Wu, Qiang
    Li, Peng
    2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL I, 2009, : 598 - 601
  • [9] Application of wavelets in blind source separation
    Kisilev, P
    Zibulevsky, M
    Zeevi, YY
    WAVELETS: APPLICATIONS IN SIGNAL AND IMAGE PROCESSING X, PTS 1 AND 2, 2003, 5207 : 332 - 339
  • [10] A Special FCL Clustering and Its Application to Sparse Blind Source Separation
    Tong, Yu
    Zhang, Yunjie
    CEIS 2011, 2011, 15
12345