In the measurement of actual random phenomenon, the observed data often contain the fuzziness due to the existence of confidence limitation in measuring instruments, permissible error in experimental data, some practical simplification of evaluation procedure and a quantized error in digitized observation. In this study, by introducing the well-known fuzzy theory, a state estimation method based on the above fuzzy observations is theoretically proposed through an establishment of wide sense digital filter under the actual situation of existence of the background noise in close connection of the inverse problem. The validity and effectiveness of the proposed method are experimentally confirmed by applying it to the actual fuzzy data observed in an acoustic environment.
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Akira IKUTA, Mitsuo OHTA, Noboru NAKASAKO, "A State Estimation Method in Acoustic Environment Based on Fuzzy Observation Contaminated by Background Noise Utilization of Inverse Probability and Digital Filter" in IEICE TRANSACTIONS on Fundamentals,
vol. E80-A, no. 5, pp. 825-832, May 1997, doi: .
Abstract: In the measurement of actual random phenomenon, the observed data often contain the fuzziness due to the existence of confidence limitation in measuring instruments, permissible error in experimental data, some practical simplification of evaluation procedure and a quantized error in digitized observation. In this study, by introducing the well-known fuzzy theory, a state estimation method based on the above fuzzy observations is theoretically proposed through an establishment of wide sense digital filter under the actual situation of existence of the background noise in close connection of the inverse problem. The validity and effectiveness of the proposed method are experimentally confirmed by applying it to the actual fuzzy data observed in an acoustic environment.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e80-a_5_825/_p
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@ARTICLE{e80-a_5_825,
author={Akira IKUTA, Mitsuo OHTA, Noboru NAKASAKO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A State Estimation Method in Acoustic Environment Based on Fuzzy Observation Contaminated by Background Noise Utilization of Inverse Probability and Digital Filter},
year={1997},
volume={E80-A},
number={5},
pages={825-832},
abstract={In the measurement of actual random phenomenon, the observed data often contain the fuzziness due to the existence of confidence limitation in measuring instruments, permissible error in experimental data, some practical simplification of evaluation procedure and a quantized error in digitized observation. In this study, by introducing the well-known fuzzy theory, a state estimation method based on the above fuzzy observations is theoretically proposed through an establishment of wide sense digital filter under the actual situation of existence of the background noise in close connection of the inverse problem. The validity and effectiveness of the proposed method are experimentally confirmed by applying it to the actual fuzzy data observed in an acoustic environment.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - A State Estimation Method in Acoustic Environment Based on Fuzzy Observation Contaminated by Background Noise Utilization of Inverse Probability and Digital Filter
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 825
EP - 832
AU - Akira IKUTA
AU - Mitsuo OHTA
AU - Noboru NAKASAKO
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E80-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 1997
AB - In the measurement of actual random phenomenon, the observed data often contain the fuzziness due to the existence of confidence limitation in measuring instruments, permissible error in experimental data, some practical simplification of evaluation procedure and a quantized error in digitized observation. In this study, by introducing the well-known fuzzy theory, a state estimation method based on the above fuzzy observations is theoretically proposed through an establishment of wide sense digital filter under the actual situation of existence of the background noise in close connection of the inverse problem. The validity and effectiveness of the proposed method are experimentally confirmed by applying it to the actual fuzzy data observed in an acoustic environment.
ER -