# [1]颜俊,吴乐南.基于模糊逻辑的数字滤波器设计[J].东南大学学报(自然科学版),2011,41(2):215-219.[doi:10.3969/j.issn.1001-0505.2011.02.001] 　Yan Jun,Wu Lenan.Digital filter design via fuzzy logic[J].Journal of Southeast University (Natural Science Edition),2011,41(2):215-219.[doi:10.3969/j.issn.1001-0505.2011.02.001] 点击复制 基于模糊逻辑的数字滤波器设计() 分享到： var jiathis_config = { data_track_clickback: true };

41

2011年第2期

215-219

2011-03-20

## 文章信息/Info

Title:
Digital filter design via fuzzy logic

(东南大学信息科学与工程学院,南京 210096)
Author(s):
(School of Information Science and Engineering, Southeast University, Nanjing 210096, China)

Keywords:

TN911.7
DOI:
10.3969/j.issn.1001-0505.2011.02.001

Abstract:
Aimed at the shortcoming of single model for traditional filter design, a new digital filter design method is introduced, which combines the statistical property of noise to be filtered with the fuzzy logic theory. The truncated triangular fuzzy function is used to define the parameters of the digital filter with the noise statistics. According to the comparison between the standard deviation of input noise and the maximal threshold of filtering noise, filters both via single value and via statistical averaging are proposed respectively. The sample numbers of a period is established for statistical averaging filters. The proposed algorithm contains four steps: filtering method selection, period signal sampling, signal fuzzification and signal defuzzification. The simulation results indicate that the fuzzy logic digital filter is powerful for different standard deviations and might be valuable in project applications.

## 参考文献/References:

[1] Reznik L,Kreinovich V.Fuzzy prediction models in measurement [J].IEEE Transactions on Fuzzy Systems,2008,16(4):851-862.
[2] Russo F.Fuzzy systems in instrumentation:fuzzy signal processing [J].IEEE Transactions on Instrumentation and Measurement,1996,49(2):683-689.
[3] Michal K U,Wasowski J.Fuzzy approach to the theory of measurement inexactness [J].Elsevier Measurement,2003,1(34):67-74.
[4] Zadeh L A.Fuzzy logic computing with words [J].IEEE Transactions on Fuzzy Systems,1996,4(2):103-111.
[5] Mauris G,Foulloy L.A fuzzy symbolic approach to formalize sensory measurements:an application to a comfort sensor [J].IEEE Transactions on Instrumentation and Measurement,2002,51(4):712-715.
[6] Jongbae C.Data fusion using expected output membership fusion [D].Ames,IW,USA:Iowa State University,1999.
[7] Lasserre V,Mauris G,Foulloy L.A simple probability-possibility transformation for measurement error representation:a truncated triangular transformation [C]//International Fuzzy Systems Association (IFSA).San Diego,USA,1997:476-481.
[8] Mauris G,Lasserre V,Foulloy L.Fuzzy modeling of measurement data acquired from physical sensors [J].IEEE Transactions on Instrumentation and Measurement,2000,49(6):1201-1205.

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