Underdetermined Blind Source Separation Using Sparse Coding

In an underdetermined mixture system with n unknown sources, it is a challenging task to separate these sources from their m observed mixture signals, where m . n. By exploiting the technique of sparse coding, we propose an effective approach to discover some 1-D subspaces from the set consisting of...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 28; H. 12; S. 3102 - 3108
Hauptverfasser:	Zhen, Liangli, Peng, Dezhong, Yi, Zhang, Xiang, Yong, Chen, Peng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.12.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Blind source separation Clustering Clustering algorithms Coding Encoding Estimation Learning systems Mixing matrix identification Representations Separation Signal processing single source detection source recovery sparse coding Sparse matrices Subspaces Theoretical analysis Time-frequency analysis underdetermined blind source separation (UBSS)
ISSN:	2162-237X, 2162-2388
Online-Zugang:	Volltext
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