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A Signal Processing for Generalized Regression Analysis with Less Information Loss Based on the Observed Data with an Amplitude Limitation

Mitsuo OHTA, Akira IKUTA

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Summary :

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.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E76-A No.9 pp.1485-1487
Publication Date
1993/09/25
Publicized
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DOI
Type of Manuscript
Special Section LETTER (Special Section on Information Theory and Its Applications)
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