A Single-Channel BSS New Method of Time-Frequency Overlapped Communication Signal based on Multi-Scale CWT and ICA

被引：0

作者：

Wang, Xiaobin ^{[1
]}

Wang, Ying ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Chengdu 611731, Peoples R China

来源：

2013 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PROBLEM-SOLVING (ICCP) | 2013年

关键词：

Single-channel blind source separation; communication signal; multi-scale continuous wavelet transform(CWT); independent component analysis (ICA); SEPARATION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

To solve the single-channel blind separation problem of time-frequency overlapped communications signals, this paper proposes a new method joint multi-scale continuous wavelet transform (CWT) and independent component analysis (ICA). By using multi-scale CWT decomposition on single-channel signal, the original mixed signal can be expanded to a multi-dimensional signal without any prior knowledge, then use the ICA algorithm to realize its blind separation. Next, determine the number of source signals and eliminate the redundancy and irrelevancy to complete the separation. Finally, the separation experiments and simulations confirmed this proposed method valid and feasible.

引用

页码：241 / 244

页数：4

共 14 条

[1] TIME-VARYING LAPPED TRANSFORMS AND WAVELET PACKETS [J].

DEQUEIROZ, RL ;

RAO, KR .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1993, 41 (12) :3293-3305

[2] Separating mixed multi-component signal with an application in mechanical watch movement [J].

He, Qingbo ;

Su, Shuang ;

Du, Ruxu .

DIGITAL SIGNAL PROCESSING, 2008, 18 (06) :1013-1028

[3] Separation of fault features from a single-channel mechanical signal mixture using wavelet decomposition [J].

Hong, Hoonbin ;

Liang, Ming .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (05) :2025-2040

[4] The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J].

Huang, NE ;

Shen, Z ;

Long, SR ;

Wu, MLC ;

Shih, HH ;

Zheng, QN ;

Yen, NC ;

Tung, CC ;

Liu, HH .

PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1998, 454 (1971) :903-995

[5] Fast and robust fixed-point algorithms for independent component analysis [J].

Hyvärinen, A .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1999, 10 (03) :626-634

[6]

Jang G.-J., 2003, J MACH LEARN RES, V4, P1365

[7]

Kristjansson T, 2006, INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5, P97

[8] Fault feature separation using wavelet-ICA filter [J].

Lin, J ;

Zhang, AM .

NDT & E INTERNATIONAL, 2005, 38 (06) :421-427

[9] A novel blind source separation method for single-channel signal [J].

Ma, Hong-Guang ;

Jiang, Qin-Bo ;

Liu, Zhi-Qiang ;

Liu, Gang ;

Ma, Zhi-Yuan .

SIGNAL PROCESSING, 2010, 90 (12) :3232-3241

[10] MULTIFREQUENCY CHANNEL DECOMPOSITIONS OF IMAGES AND WAVELET MODELS [J].

MALLAT, SG .

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1989, 37 (12) :2091-2110

← 1 2 →