DocumentCode
2203881
Title
Designing a polynomial regression experiment at researching into decision rules of signal recognition by modeling
Author
Fedorov, A.V. ; Omelchenko, Anatoliy V.
Author_Institution
Kharkov Nat. Univ. of Radio Electron., Kharkov, Ukraine
fYear
2013
fDate
12-14 Sept. 2013
Firstpage
124
Lastpage
128
Abstract
The problem of getting working characteristics of signal recognition decision rules by statistical modeling with the aid of polynomial regression has been considered. Designs to minimize the average prediction variance of a regression function over a design region (Q-optimal) have been substantiated. The effectiveness of the developed methods has been illustrated by examples.
Keywords
polynomials; regression analysis; signal classification; Q-optimal; design region; polynomial regression; regression function; signal recognition decision rules; statistical modeling; Approximation methods; Character recognition; Computational modeling; Covariance matrices; Optimization; Polynomials; Vectors; decision rule; design for experiment; polynomial regression; regression experiment; signal recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location
Berlin
Print_ISBN
978-1-4799-1426-5
Type
conf
DOI
10.1109/IDAACS.2013.6662654
Filename
6662654
Link To Document