Title :
Adaptive method for state estimation of sound environment system with fuzzy observation
Author :
Ikuta, Akira ; Masuike, Hisako
Author_Institution :
Dept. of Manage. Inf. Syst., Prefectural Univ. of Hiroshima, Hiroshima
Abstract :
The internal physical mechanism of actual sound environment system is often difficult to recognize analytically from the bottom-up viewpoint, and it contains unknown structural characteristics. Furthermore, the observations in the sound environment often contain fuzziness due to several causes. In this paper, an adaptive method for estimating the specific signal for sound environment system with unknown structure and fuzzy observation is proposed by introducing a fuzzy theory and a system model of the conditional probability type. The effectiveness of the proposed theoretical method is confirmed by applying it to the actual problem of psychological evaluation in the sound environment.
Keywords :
acoustic signal processing; adaptive signal processing; fuzzy set theory; probability; adaptive method; conditional probability type; fuzzy theory; internal physical mechanism; psychological evaluation; signal estimation; sound environment system; state estimation; Acoustic measurements; Acoustic noise; Estimation theory; Filtering theory; Fluctuations; Fuzzy systems; Humans; Psychology; State estimation; Working environment noise; adaptive state estimation; fuzzy observation; loudness; sound environment system;
Conference_Titel :
Cybernetic Intelligent Systems, 2008. CIS 2008. 7th IEEE International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-2914-1
Electronic_ISBN :
978-1-4244-2915-8
DOI :
10.1109/UKRICIS.2008.4798924