Blind signal separation by algebraic independent component analysis

被引:0
作者
Itoh, K [1 ]
机构
[1] Osaka Univ, Dept Appl Phys, Grad Sch Engn, Suita, Osaka 5650871, Japan
来源
LEOS 2000 - IEEE ANNUAL MEETING CONFERENCE PROCEEDINGS, VOLS. 1 & 2 | 2000年
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We propose an ICA (independent component analysis) algorithm based on the joint order statistics. Independent components are algebraically recovered without iteration. We demonstrate that the original images are recovered from the mixed images.
引用
收藏
页码:746 / 747
页数:2
相关论文
共 50 条
[41]   Independent component analysis for semi-blind signal separation in MIMO mobile frequency selective communication channels [J].
Obradovic, D ;
Madhu, N ;
Szabo, A ;
Wong, CS .
2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2004, :53-58
[42]   BLIND SIGNAL SEPARATION OF MIXTURES OF CHAOTIC PROCESSES: A COMPARISON BETWEEN INDEPENDENT COMPONENT ANALYSIS AND STATE SPACE MODELING [J].
Galka, Andreas ;
Wong, Kevin K. F. ;
Stephani, Ulrich ;
Ozaki, Tohru ;
Siniatchkin, Michael .
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2013, 23 (10)
[43]   Underdetermined blind source separation method based on independent component analysis [J].
Ordnance Engineering College, Shijiazhuang 050003, China ;
不详 .
J Vib Shock, 2013, 7 (30-33)
[44]   Blind source separation of chaotic laser signals by independent component analysis [J].
Kuraya, Masahiko ;
Uchida, Atsushi ;
Yoshimori, Shigeru ;
Umeno, Ken .
OPTICS EXPRESS, 2008, 16 (02) :725-730
[45]   Blind separation of manufacturing variability with independent component analysis: A convolutive approach [J].
Gandini, M. ;
Lombardi, F. ;
Vaccarino, F. .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (08) :9939-9946
[46]   Blind separation algorithm of image based on an improved independent component analysis [J].
Xiang, Lin ;
Cui, Rong-Yi .
Journal of Harbin Institute of Technology (New Series), 2008, 15 (SUPPL. 2) :156-159
[47]   A Genetic Algorithm for Blind Source Separation Based on Independent Component Analysis [J].
Dadula, Cristina P. ;
Dadios, Elmer P. .
2014 INTERNATIONAL CONFERENCE ON HUMANOID, NANOTECHNOLOGY, INFORMATION TECHNOLOGY, COMMUNICATION AND CONTROL, ENVIRONMENT AND MANAGEMENT (HNICEM), 2014,
[49]   Blind Source Separation Based on Variational Bayesian Independent Component Analysis [J].
Wang, Chunli ;
Xu, Yan ;
Tang, Minan ;
Wang, Lei .
PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018), 2018, :1614-1618
[50]   An algebraic principle in blind separation of single source signal [J].
Zhu, J ;
Cao, XR ;
Ding, Z .
ISCAS 2000: IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS - PROCEEDINGS, VOL IV: EMERGING TECHNOLOGIES FOR THE 21ST CENTURY, 2000, :693-696