A totally fuzzy approach to multisensor instrumentation: pre-processing techniques

Author

Russo, Fabrizio ; Ramponi, Giovanni

Author_Institution

Dipartimento di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy

fYear

1994

fDate

10-12 May 1994

Firstpage

1143

Abstract

Fuzzy techniques can represent a global resource for intelligent instrumentation: this paper shows how a totally fuzzy approach can be proposed which is able to deal with 1-D and 2-D measurement data. Focussing on the task of data pre-processing, we describe a family of rule-based fuzzy operators and their capability of addressing some important pre-processing tasks such as filtering and feature extraction. Application examples to both the cases of 1-D and 2-D data are presented

Keywords

feature extraction; filtering theory; focusing; fuzzy logic; sensor fusion; 1D measurement data; 2D measurement data; feature extraction; filtering; focussing; global resource; intelligent instrumentation; multisensor instrumentation; preprocessing; rule-based fuzzy operators; sensor fusion; signal preprocessing; totally fuzzy approach; Feature extraction; Filtering; Fires; Fuzzy logic; Fuzzy sets; Fuzzy systems; Input variables; Instruments; Medical robotics; Robot sensing systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE

Conference_Location

Hamamatsu

Print_ISBN

0-7803-1880-3

Type

conf

DOI

10.1109/IMTC.1994.351856

Filename

351856