DocumentCode :
3366752
Title :
A fuzzy approach to digital signal processing concepts and applications
Author :
Russo, Fabirzio
Author_Institution :
Dipartimento di Elettrotecnica Elettronica Inf., Trieste Univ., Italy
fYear :
1992
fDate :
12-14 May 1992
Firstpage :
640
Lastpage :
645
Abstract :
The author addresses signal analysis and proposes fuzzy signal processing (FSP) as a valuable component in the design of modern `smart instrumentation´. For this purpose, a fuzzy inference mechanism has been developed and tested with some advanced digital signal processing techniques. Experimentation with FSP leads to the conclusion that its effectiveness depends on the possibility of easily changing applications, thus allowing unified treatment of different processing problems, and the capacity to address applications which are difficult (or impossible) to treat with classical approaches
Keywords :
computerised instrumentation; feature extraction; fuzzy logic; image processing; inference mechanisms; adaptive filtering; digital signal processing; feature extraction; fuzzy inference mechanism; fuzzy signal processing; signal analysis; signal classification; smart instrumentation; Digital signal processing; Fuzzy logic; Fuzzy sets; Fuzzy systems; Inference mechanisms; Instruments; Modems; Signal analysis; Signal design; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1992. IMTC '92., 9th IEEE
Conference_Location :
Metropolitan, NY
Print_ISBN :
0-7803-0640-6
Type :
conf
DOI :
10.1109/IMTC.1992.245060
Filename :
245060
Link To Document :
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