Data modeling for radar applications

Abstract

This paper presents the process of data modeling for generating functional {[f(x)]/sup 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.