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Proceedings Paper

Signal processing methods based on fuzzy probability and psychological evaluation for sound environment
Author(s): Akira Ikuta
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Paper Abstract

The actual sound environment system exhibits various types of linear and non-linear characteristics, and it often contains an unknown structure. Furthermore, the observations in the sound environment often contain fuzziness due to several causes. In this paper, static and dynamic signal processing methods for estimating and predicting the specific signal of sound environment systems with unknown structure and fuzzy observation are proposed by introducing a fuzzy probability theory. The effectiveness of the proposed theoretical methods is confirmed by applying them to the actual problem of psychological evaluation for the sound environment.

Paper Details

Date Published: 24 October 2006
PDF: 5 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63571M (24 October 2006); doi: 10.1117/12.716982
Show Author Affiliations
Akira Ikuta, Prefectural Univ. of Hiroshima (Japan)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)

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