A digital filter for stochastic systems with unknown structure and its application to psychological evaluation of sound environment

被引：5

作者：

Ikuta, A ^{[1
]}

Masuike, H

Ohta, M

机构：

[1] Prefectural Univ Hiroshima, Dept Managment & Informat Syst, Hiroshima 7348558, Japan

[2] NTT DATA Chugoku Co, Hiroshima 7320816, Japan

[3] New Life Hiroshima, Hiroshima 7320824, Japan

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2005年 / E88D卷 / 07期

关键词：

unknown structural system; quantized observation; digital filter; psychological evaluation; sound environment;

D O I：

10.1093/ietisy/e88-d.7.1519

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1519 / 1525

页数：7

共 50 条

[1] A digital filter for stochastic systems with unknown structure and its application to psychological evaluation of sound environment
Ikuta, A
Masuike, H
Ohta, M
2004 47TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL II, CONFERENCE PROCEEDINGS, 2004, : 1 - 4
[2] FUZZY ADAPTIVE FILTER FOR STATE ESTIMATION OF SOUND ENVIRONMENT SYSTEM AND ITS APPLICATION TO PSYCHOLOGICAL EVALUATION
Masuike, Hisako
Ikuta, Akira
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2009, 5 (12B): : 4797 - 4807
[3] State estimation for sound environment system with uncertainty and its application to psychological evaluation
Masuike, Hisako
Ikuta, Akira
EUROCON 2007: THE INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL, VOLS 1-6, 2007, : 1113 - 1120
[4] ADAPTIVE STATE ESTIMATION METHOD OF SOUND ENVIRONMENT SYSTEM WITH UNCERTAINTY AND ITS APPLICATION TO PSYCHOLOGICAL EVALUATION
Ikuta, Akira
Orimoto, Hisako
PROCEEDINGS OF THE 17TH INTERNATIONAL CONGRESS ON SOUND AND VIBRATION, 2010,
[5] A fuzzy adaptive filter for state estimation of unknown structural system and evaluation for sound environment
Ikuta, A
Masuike, H
Xiao, YG
Ohta, M
FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS, 2005, 3613 : 1161 - 1170
[6] State estimation method for sound environment system with unknown structure by introducing a fuzzy adaptive filter
Masuke, Hisako
Ikuta, Akira
Xiao, Yegui
2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2006, : 2255 - +
[7] State estimation using a digital filter based on a system model of the transition probability type and its application to the sound environment
Kinki Univ, Higashi-Hiroshima, Japan
Acustica, 2 (145-151):
[8] Filter designing with finite packet losses and its application for stochastic systems
Liu, Y. G.
Xu, B. G.
IET CONTROL THEORY AND APPLICATIONS, 2011, 5 (06): : 775 - 784
[9] An unknown input extended Kalman filter for nonlinear stochastic systems
Meyer, Luc
Ichalal, Dalil
Vigneron, Vincent
EUROPEAN JOURNAL OF CONTROL, 2020, 56 : 51 - 61
[10] An evaluation method for complex sound environment system under unknown structure and existence of observation noise
Masuike, H
Ikuta, A
Ohta, M
FIFTH INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND CONTROL TECHNOLOGY, 2003, 5253 : 326 - 329

← 1 2 3 4 5 →