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
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;
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
DOI :
10.1109/IDAACS.2013.6662654
