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

Mitsuo OHTA; Akira IKUTA

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

Mitsuo OHTA, Akira IKUTA

Full Text Views

0

Share
Cite this

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

Online ISSN

DOI

Type of Manuscript: Special Section LETTER (Special Section on Information Theory and Its Applications)

Category

Cite this

Copy

Mitsuo OHTA, Akira IKUTA, "A Signal Processing for Generalized Regression Analysis with Less Information Loss Based on the Observed Data with an Amplitude Limitation" in IEICE TRANSACTIONS on Fundamentals, vol. E76-A, no. 9, pp. 1485-1487, September 1993, doi: .
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e76-a_9_1485/_p

Copy

@ARTICLE{e76-a_9_1485,
author={Mitsuo OHTA, Akira IKUTA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Signal Processing for Generalized Regression Analysis with Less Information Loss Based on the Observed Data with an Amplitude Limitation},
year={1993},
volume={E76-A},
number={9},
pages={1485-1487},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={September},}

Copy

TY - JOUR
TI - A Signal Processing for Generalized Regression Analysis with Less Information Loss Based on the Observed Data with an Amplitude Limitation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1485
EP - 1487
AU - Mitsuo OHTA
AU - Akira IKUTA
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E76-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1993
AB - 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.
ER -