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Study Data from University of Texas Update Understanding of Information Technology (Filtering out high frequencies in time series using F-transform)

July 1, 2014



By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Investigators discuss new findings in Information Technology. According to news reporting out of El Paso, Texas, by VerticalNews editors, research stated, "In this paper, we focus on application of fuzzy transform (F-transform) to analysis of time series under the assumption that the latter can be additively decomposed into trend-cycle, seasonal component and noise. We prove that when setting properly width of the basic functions, the inverse F-transform of the time series closely approximates its trend-cycle."

Our news journalists obtained a quote from the research from the University of Texas, "This means that the F-transform almost completely removes the seasonal component and noise. The obtained theoretical results are demonstrated on two artificial time series whose trend cycle is precisely known and on three real time series."

According to the news editors, the research concluded: "At the same time, comparison with three classical methods, namely STL-method, SSA-method and low pass Butterworth filter is also provided."

For more information on this research see: Filtering out high frequencies in time series using F-transform. Information Sciences, 2014;274():192-209. Information Sciences can be contacted at: Elsevier Science Inc, 360 Park Ave South, New York, NY 10010-1710, USA. (Elsevier - www.elsevier.com; Information Sciences - www.elsevier.com/wps/product/cws_home/505730)

Our news journalists report that additional information may be obtained by contacting V. Novak, Univ Texas El Paso, Dept. of Comp Sci, El Paso, TX 79968, United States. Additional authors for this research include I. Perfilieva, M. Holcapek and V. Kreinovich.

Keywords for this news article include: Texas, El Paso, United States, Information Technology, North and Central America

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Information Technology Newsweekly


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