Title :
Data-dependent filtering using the fuzzy inference
Author :
Taguchi, Akira ; Takashima, Hironori ; Russo, Fabrizio
Abstract :
This paper presents a design method of data-dependent filters by using fuzzy inference. Since the antecedents of fuzzy inference can be composed of many local characteristics, it is possible for the proposed filter to adjust its weights to adapt to local data in input signal. The tuning of membership functions of the proposed filter results in LMS like algorithm
Keywords :
Adaptive filters; Data engineering; Design engineering; Design methodology; Electronic mail; Filtering; Fuzzy sets; Least squares approximation; Signal processing; Smoothing methods;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1995. IMTC/95. Proceedings. Integrating Intelligent Instrumentation and Control., IEEE
Conference_Location :
Waltham, MA, USA
Print_ISBN :
0-7803-2615-6
DOI :
10.1109/IMTC.1995.515416
