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A Digital Filter for Stochastic Systems with Unknown Structure and Its Application to Psychological Evaluation of Sound Environment

Akira IKUTA, Hisako MASUIKE, Mitsuo OHTA

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Summary :

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 are often in the level-quantized form. In this paper, a method for estimating the specific signal for stochastic systems with unknown structure and the quantized observation is proposed by introducing 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 for the sound environment.

Publication
IEICE TRANSACTIONS on Information Vol.E88-D No.7 pp.1519-1525
Publication Date
2005/07/01
Publicized
Online ISSN
DOI
10.1093/ietisy/e88-d.7.1519
Type of Manuscript
Special Section PAPER (Special Section on Recent Advances in Circuits and Systems--Part 1)
Category
Adaptive Signal Processing

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