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