Signal processing methods based on fuzzy probability and psychological evaluation for sound environment

Akira Ikuta

doi:10.1117/12.716982

24 October 2006 Signal processing methods based on fuzzy probability and psychological evaluation for sound environment

Akira Ikuta

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63571M (2006) https://doi.org/10.1117/12.716982
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

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.

Citation Download Citation

Akira Ikuta "Signal processing methods based on fuzzy probability and psychological evaluation for sound environment", 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); https://doi.org/10.1117/12.716982

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