Title :
Data modeling for radar applications
Author :
Jaenisch, Holger M. ; Handley, James W.
Author_Institution :
SPARTA Inc., Huntsville, AL, USA
Abstract :
This paper presents the process of data modeling for generating functional {[f(x)]n} models of algorithms or data set relationships in simple polynomial form. Data modeling has been applied to missing data reconstruction, signature synthesis, interpolation, data compression, classifier performance modeling, and adaptive feature selection. This paper highlights the mathematical process and successful applications.
Keywords :
data compression; interpolation; polynomials; radar signal processing; signal reconstruction; adaptive feature selection; classifier performance modeling; data compression; data modeling; data reconstruction; data set relationships; interpolation; polynomial form; radar applications; signature synthesis; 1f noise; Data models; Equations; Fractals; Gaussian noise; Interpolation; Polynomials; Predictive models; Radar applications; Solid modeling;
Conference_Titel :
Radar Conference, 2003. Proceedings of the 2003 IEEE
Print_ISBN :
0-7803-7920-9
DOI :
10.1109/NRC.2003.1203429
