NDLI: Periodic Radio Variability of Unevenly Sampled Time Series: Weighted Wavelet Z-Transform Analysis

Content Provider	IEEE Xplore Digital Library
Author	Xu Han Junyi Wang Jiming Lin Tao An
Copyright Year	2012
Abstract	The observation of period radio variability in astronomical systems provides astronomers with valuable information on the physical nature of the system. However, because of poor weather conditions and complex underlying astrophysical processes, the data sets of astronomical fields always feature sparse and unevenly spaced sampling. In this paper, a search for periodicity has been presented using the Weighted Wavelet Z-transform (WWZ) technique of the radio light curves of the high mass X-ray binary EXO 2030+375, the weighted wavelet Z-transform (WWZ) technique which is based on the principle of wavelet analysis can detect the characteristic parameter of the time series which the data is unevenly spaced. Periodicity analysis using two other transform methods, Lomb-Scargle periodogram (LS) and Phase Disoersion Minimization(PDM), served for verification and comparison, the results from the three methods are in excellent agreement and identify one persistent periods of $\sim$0.3 (7 hours) day, it provides a reasonable method for characteristic parameter extraction of unevenly spaced time series.
Starting Page	1
Ending Page	4
File Size	155377
Page Count	4
File Format	PDF
ISBN	9781612846842
ISSN	21619654
e-ISBN	9781612846835
DOI	10.1109/WiCOM.2012.6478616
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Time-frequency analysis Wavelet domain Time series analysis Multiresolution analysis
Content Type	Text
Resource Type	Article

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