Authors:
Akira Ikuta
and
Hisako Orimoto
Affiliation:
Prefectural University of Hiroshima, Japan
Keyword(s):
Probability Measure of Fuzzy Events, Fuzzy Signal Processing, Sound and Electromagnetic Environment.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Fuzzy Image, Speech and Signal Processing, Vision and Multimedia
;
Fuzzy Systems
;
Learning and Adaptive Fuzzy Systems
;
Soft Computing
;
Soft Computing and Intelligent Agents
;
System Identification and Fault Detection
Abstract:
The specific signal in real sound and electromagnetic waves frequently shows some very complex fluctuation forms of non-Gaussian type owing to natural, social and human factors. Furthermore, the observed data often contain fuzziness due to the existence of confidence limitation in measuring instruments, permissible error in experimental data, and the variety of human response to phenomena, etc. In this study, by introducing the probability measure of fuzzy events, static and dynamic signal processing methods based on fuzzy observations are proposed for specific signal in the sound and electromagnetic environment with complex probability distribution forms. The effectiveness of the proposed theoretical method is experimentally confirmed by applying it to estimation problems in the real sound and electromagnetic environment.