A Signal Processing for Generalized Regression Analysis with Less Information Loss Based on the Observed Data with an Amplitude Limitation (Special Section on Information Theory and Its Applications)
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概要
- 論文の詳細を見る
In this study, an expression of the regression relationship with less information loss is concretely derived in the form suitable to the existence of amplitude constraint of the observed data and the prediction of response probability distribution. The effectiveness of the proposed method is confirmed experimentally by applying it to the actual acoustic data.
- 社団法人電子情報通信学会の論文
- 1993-09-25
著者
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Ikuta Akira
The Faculty Of Engineering Kinki University
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Ohta Mitsuo
The Faculty Of Engineering Kinki University
関連論文
- A Signal Processing for Generalized Regression Analysis with Less Information Loss Based on the Observed Data with an Amplitude Limitation (Special Section on Information Theory and Its Applications)
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- A Signal Processing Method of Nonstationary Stochastic Response on a Power Scale for the Actual Sound Insulation Systems (Special Section of Papers Selected from the 7th Digital Signal Processing Symymposium
- A Practical Trial of Dynamical State Estimation for Non-Gaussian Random Variable with Amplitude Limitation and Its Application to the Reverberation Time Measurement (Special Section on Information Theory and Its Applications)