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