A Fuzzy Method for Signal Smoothing

Author

Yang, Wenjing ; Zhu, Yuanguo

Author_Institution

Dept. of Appl. Math., Nanjing Univ. of Sci. & Technol., Nanjing, China

Volume

1

fYear

2010

fDate

28-31 May 2010

Firstpage

85

Lastpage

89

Abstract

In signal testing procedure, due to the various interference, experimental data records collected by test system always deviate from original true data. The interference factors do not only contain measurement errors but also contain ambiguity of measuring concepts. Mixed data makes contiguous sample values be mixed up and also makes data curves vibrate strongly, which will produce unexpected sharp signals. It is required to smooth the sharp signals in order to weaken interference factors and enhance the curve´ssmoothness. In this paper a new fuzzy smoothing method is proposed by using the weighted mean idea. In addition, based on the expectation operator of fuzzy variables, a new method is presented to estimate the signal´s average angle.

Keywords

fuzzy set theory; interference (signal); signal processing; smoothing methods; experimental data records; fuzzy method; fuzzy set theory; interference; interference factors; signal smoothing; signal testing procedure; test system; Data mining; Data preprocessing; Feature extraction; Frequency; Information processing; Information technology; Natural language processing; Smoothing methods; Vocabulary; Web pages; fuzzy variable; membership function; mixed data; signal smoothing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Science and Optimization (CSO), 2010 Third International Joint Conference on

Conference_Location

Huangshan, Anhui

Print_ISBN

978-1-4244-6812-6

Electronic_ISBN

978-1-4244-6813-3

Type

conf

DOI

10.1109/CSO.2010.108

Filename

5532905