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

Akira IKUTA; Hisako MASUIKE; Mitsuo OHTA

doi:10.1093/ietisy/e88-d.7.1519

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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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

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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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Akira IKUTA, Hisako MASUIKE, Mitsuo OHTA, "A Digital Filter for Stochastic Systems with Unknown Structure and Its Application to Psychological Evaluation of Sound Environment" in IEICE TRANSACTIONS on Information, vol. E88-D, no. 7, pp. 1519-1525, July 2005, doi: 10.1093/ietisy/e88-d.7.1519.
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 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.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.7.1519/_p

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@ARTICLE{e88-d_7_1519,
author={Akira IKUTA, Hisako MASUIKE, Mitsuo OHTA, },
journal={IEICE TRANSACTIONS on Information},
title={A Digital Filter for Stochastic Systems with Unknown Structure and Its Application to Psychological Evaluation of Sound Environment},
year={2005},
volume={E88-D},
number={7},
pages={1519-1525},
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 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.},
keywords={},
doi={10.1093/ietisy/e88-d.7.1519},
ISSN={},
month={July},}

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TY - JOUR
TI - A Digital Filter for Stochastic Systems with Unknown Structure and Its Application to Psychological Evaluation of Sound Environment
T2 - IEICE TRANSACTIONS on Information
SP - 1519
EP - 1525
AU - Akira IKUTA
AU - Hisako MASUIKE
AU - Mitsuo OHTA
PY - 2005
DO - 10.1093/ietisy/e88-d.7.1519
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2005
AB - 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.
ER -