Adaptive ICA algorithm based on asymmetric generalized Gaussian density model

被引：1
|
作者：
Wang, FS [1 ]
Li, HW [1 ]
机构：
[1] China Univ Geosci, Dept Math & Phys, Wuhan 430074, Peoples R China
来源：
Adaptive and Natural Computing Algorithms | 2005年
关键词：
D O I：
10.1007/3-211-27389-1_120
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel Independent Component Analysis(ICA) algorithm is achieved, which enable to separate mixtures of symmetric and asymmetric sources with self adaptive nonlinear score functions. It is derived by using the parameterized asymmetric generalized Gaussian density(AGGD) model. Compared with conventional ICA algorithm, the proposed AGGD-ICA method can separate a wide range of signals including skewed sources. Simulations confirm the effectiveness and performance of the approach.
引用
收藏
页码：498 / 501
页数：4
相关论文
共 50 条
  • [1] An ICA Algorithm Based on symmetric and asymmetric Generalized Gaussian Model
    Zhao, Feng
    Zhang, Yunjie
    Cai, Min
    [J]. ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7, 2011, 204-210 : 470 - +
  • [2] Bounded Generalized Gaussian Mixture Model with ICA
    Muhammad Azam
    Nizar Bouguila
    [J]. Neural Processing Letters, 2019, 49 : 1299 - 1320
  • [3] Bounded Generalized Gaussian Mixture Model with ICA
    Azam, Muhammad
    Bouguila, Nizar
    [J]. NEURAL PROCESSING LETTERS, 2019, 49 (03) : 1299 - 1320
  • [4] An Adaptive Detection Algorithm for Blind Watermark Based on Generalized Gaussian Distribution
    Li, Zhiming
    Wang, Taiyue
    [J]. INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4, 2013, 263-266 : 2058 - +
  • [5] Self-adaptive FastICA based on generalized Gaussian model
    Wang, G
    Xu, X
    Hu, DW
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS, 2005, 3496 : 961 - 966
  • [6] Data Classification with a Generalized Gaussian Components based Density Estimation Algorithm
    Hsieh, Chih-Hung
    Chang, Darby Tien-Hao
    Oyang, Yen-Jen
    [J]. IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, 2009, : 2910 - +
  • [7] A generalized ICA algorithm
    Stoll, B
    Moreau, E
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2000, 7 (04) : 90 - 92
  • [8] Bounded multivariate generalized Gaussian mixture model using ICA and IVA
    Ali Algumaei
    Muhammad Azam
    Fatma Najar
    Nizar Bouguila
    [J]. Pattern Analysis and Applications, 2023, 26 (3) : 1223 - 1252
  • [9] Adaptive Shadows Detection Algorithm Based on Gaussian Mixture Model
    XiaHou, Yu-jiao
    Gong, Sheng-rong
    [J]. ISISE 2008: INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING, VOL 1, 2008, : 116 - 120
  • [10] Bounded multivariate generalized Gaussian mixture model using ICA and IVA
    Algumaei, Ali
    Azam, Muhammad
    Najar, Fatma
    Bouguila, Nizar
    [J]. PATTERN ANALYSIS AND APPLICATIONS, 2023, 26 (03) : 1223 - 1252
12345