NDLI: Single-channel blind source separation based on cyclic spectrum estimation

Content Provider	IEEE Xplore Digital Library
Author	Jiai He Linzhi Liu
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. & Commun., Lanzhou Univ. of Technol., Lanzhou, China (Jiai He; Linzhi Liu)
Abstract	In this paper, we propose a new algorithm of cyclic spectrum based on time-varying ARV (Vector Auto-regressive) model that aims to deal with the disadvantages of the cycle spectrum made by the traditional periodogram such as large estimated variance and low resolution. This paper uses the algorithm to get cyclic spectrum by building a cyclostationary time-varying ARV model for communication signal. Then the algorithm transforms linear non-stationary problems into linear time-invariant via time varying basis function. And lastly the algorithm employs covariance matrix and power spectrum theory to deduce the results. In order to test and verify the algorithm, the cyclic spectrum of 2ASK(2 Amplitude Shift Keying) and BPSK (Binary Phase Shift Keying) signals are simulated in MATLAB environment. And the results are consistent with the theoretical deduction. Finally, applying cyclic spectrum information extracted by the algorithm on cyclic spectrum domain filter to achieve the single-channel blind source separation is explored.
Sponsorship	IEEE Eng.Med. Biol. Soc.
Starting Page	1525
Ending Page	1529
File Size	427450
Page Count	5
File Format	PDF
e-ISBN	9781479927647
DOI	10.1109/CISP.2013.6743917
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Time series analysis Signal processing algorithms Blind source separation Vectors Binary phase shift keying Time-varying Vector Auto-regressiveg model Mathematical model Cyclic spectrum domain filter Cyclostationarity
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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