DocumentCode :
507302
Title :
A New Method Assessing Signal Regularity
Author :
Chen, Weiting ; Yu, Wangxin ; Cao, Guitao
Author_Institution :
Software Eng. Inst., East China Normal Univ., Shanghai, China
Volume :
5
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
563
Lastpage :
566
Abstract :
In this paper, we put forward a new method to measure the regularity of a time series. Through a sliding observation window, the relative probability of evolvement patterns (RPEP) of a time series can be monitored as a function of time. Summing up the probability of all those patterns representing regularity evolvement, we get the index Dreg. The higher the Dreg is, the more regular the time series appears. As the calculation of EP and Dreg is quite easy and fast, the method provides a convenient way to assess signal regularity and can be applied to online analysis.
Keywords :
signal processing; time series; electromyography signals; evolvement patterns relative probability; signal regularity assessment; sliding observation window; time series; Biomedical engineering; Biomedical measurements; Fuzzy systems; Monitoring; Pattern analysis; Signal analysis; Software engineering; Software measurement; Sorting; Time measurement; evolvement patterns; regularity; time series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.770
Filename :
5360558
Link To Document :
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