Title :
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
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;
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
DOI :
10.1109/IMTC.1994.351856
