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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
Publication
IEICE TRANSACTIONS on Information and Systems Vol.E88-D No.7 pp.1519-1525
Publication Date: 2005/07/01
Online ISSN:
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Recent Advances in Circuits and Systems--Part 1)
Category: Adaptive Signal Processing
Keyword:
unknown structural system,
quantized observation,
digital filter,
psychological evaluation,
sound environment,
Full Text: PDF
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.
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