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
  • [31] Adaptive blind source separation and equalization for CDMA
    Dianat, SA
    Rao, RM
    DIGITAL WIRELESS COMMUNICATION, 1999, 3708 : 172 - 180
  • [32] Adaptive blind source separation of colored signals
    He, WX
    Xie, JY
    Yang, YP
    2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3, 2004, : 1407 - 1410
  • [33] Optimum adaptive blind source separation algorithms
    Moustakides, GV
    2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS, 2002, : 1645 - 1648
  • [34] A feedback approach and its learning algorithm for over complete blind source separation
    Nakayama, Kenji
    Katou, Haruo
    Hirano, Akahiro
    2006 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS, VOLS 1 AND 2, 2006, : 422 - +
  • [35] Source adaptive blind source separation: Gaussian models and sparsity
    Pham, DT
    Cardoso, JF
    WAVELETS: APPLICATIONS IN SIGNAL AND IMAGE PROCESSING X, PTS 1 AND 2, 2003, 5207 : 340 - 351
  • [36] A new ICA algorithm for blind source separation
    Ku, CJ
    Fine, TL
    2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL V, PROCEEDINGS: SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO AND ELECTROACOUSTICS MULTIMEDIA SIGNAL PROCESSING, 2003, : 33 - 36
  • [37] Blind source separation based on genetic algorithm
    College of Software, Hunan University, Changsha 410082, China
    不详
    不详
    Jisuanji Yanjiu yu Fazhan, 2006, 2 (244-252):
  • [38] Blind source separation algorithm based on correntropy
    School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
    Cheng, H., 1600, Univ. of Electronic Science and Technology of China (42):
  • [39] Kalman filtering algorithm for blind source separation
    Lv, Q
    Zhang, XD
    Jia, Y
    2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 257 - 260
  • [40] Multistage decomposition algorithm for blind source separation
    FENG Dazheng
    ProgressinNaturalScience, 2002, (05) : 60 - 64
12345