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State estimation for sound environment with unknown structure by introducing fuzzy theory
Author(s) -
Ikuta Akira,
Masuike Hisako,
Ohta Mitsuo
Publication year - 2008
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.10158
Subject(s) - sound (geography) , fuzzy logic , nonlinear system , computer science , estimation , state (computer science) , signal (programming language) , type (biology) , artificial intelligence , algorithm , engineering , acoustics , systems engineering , ecology , physics , quantum mechanics , biology , programming language
The actual sound environment system exhibits various types of linear and nonlinear characteristics, and it often contains an unknown structure. Furthermore, observations in the sound environment often contain fuzziness due to several causes. In this paper, a method for estimating the specific signal for a 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 an actual problem of the sound environment. © 2009 Wiley Periodicals, Inc. Electron Comm Jpn, 91(9): 45– 53, 2008; Published online in Wiley InterScience ( www.interscience. wiley.com ). DOI 10.1002/ecj.10158 Copyright