Sampling Adaptive Learning Algorithm for Mobile Blind Source Separation

被引：2
|
作者：
Huang, Jingwen [1 ]
Sun, Jianshan [2 ]
机构：
[1] Beijing Univ Chem Technol, Beijing 100029, Peoples R China
[2] Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China
来源：
WIRELESS COMMUNICATIONS & MOBILE COMPUTING | 2018年
关键词：
STEP-SIZE; NETWORK;
D O I：
10.1155/2018/5048419
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Learning rate plays an important role in separating a set of mixed signals through the training of an unmixingmatrix, to recover an approximation of the source signals in blind source separation (BSS). To improve the algorithm in speed and exactness, a sampling adaptive learning algorithm is proposed to calculate the adaptive learning rate in a sampling way. The connection for the sampled optimal points is described through a smoothing equation. The simulation result shows that the performance of the proposed algorithm has similar Mean Square Error (MSE) to that of adaptive learning algorithm but is less time consuming.
引用
收藏
页数：7
相关论文
共 50 条
  • [41] Multistage decomposition algorithm for blind source separation
    Feng, Dazheng
    Bao, Zheng
    Zhang, Xianda
    Progress in Natural Science, 2002, 12 (05)
  • [42] Multistage decomposition algorithm for blind source separation
    Feng, DH
    Bao, Z
    Zhang, XD
    PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL, 2002, 12 (05) : 378 - 382
  • [43] Efficient adaptive algorithm for blind separation and blind identification of signals
    Feng, Dazheng
    Shi, Weixiang
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 1998, 32 (05): : 76 - 79
  • [44] 'Mechanical' neural learning for blind source separation
    Fiori, S
    ELECTRONICS LETTERS, 1999, 35 (22) : 1963 - 1964
  • [45] Stochastic gradient adaptive algorithms for blind source separation
    Dapena, A
    Castedo, L
    SIGNAL PROCESSING, 1999, 75 (01) : 11 - 27
  • [46] Adaptive blind source separation with HRTFs beamforming preprocessing
    Maazaoui, Mounira
    Abed-Meraim, Karim
    Grenier, Yves
    2012 IEEE 7TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2012, : 269 - 272
  • [47] Blind source separation using an adaptive combination of two separation systems
    Ou, Shi-Feng
    Zhao, Xiao-Hui
    Gao, Ying
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2010, 40 (05): : 1366 - 1370
  • [48] A multi-variate blind source separation algorithmA multi-variate blind source separation algorithm
    Goldhacker, M.
    Keck, P.
    Igel, A.
    Lang, E. W.
    Tome, A. M.
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2017, 151 : 91 - 99
  • [49] A new learning algorithm for blind signal separation
    Amari, S
    Cichocki, A
    Yang, HH
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 8: PROCEEDINGS OF THE 1995 CONFERENCE, 1996, 8 : 757 - 763
  • [50] NEW LEARNING ALGORITHM FOR BLIND SEPARATION OF SOURCES
    CICHOCKI, A
    MOSZCZYNSKI, L
    ELECTRONICS LETTERS, 1992, 28 (21) : 1986 - 1987
12345