NDLI: A single-channel BSS new method of time-frequency overlapped communication signal based on multi-scale CWT and ICA

Content Provider	IEEE Xplore Digital Library
Author	Xiaobin Wang Ying Wang
Copyright Year	2013
Description	Author affiliation: Univ. of Electron. Sci. & Technol. of China, Chengdu, China (Xiaobin Wang; Ying Wang)
Abstract	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.
Starting Page	241
Ending Page	244
File Size	218271
Page Count	4
File Format	PDF
ISBN	9781479921508
DOI	10.1109/ICCPS.2013.6893582
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Time-frequency analysis Continuous wavelet transforms Source separation Multi-scale continuous wavelet transform(CWT) Redundancy Communication signal Independent component analysis (ICA) Single-channel blind source separation
Content Type	Text
Resource Type	Article

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