ON GENERALIZED SIGNAL-TO-NOISE RATIOS IN QUADRATIC DETECTION

被引：6
|
作者：
BARTON, RJ [1 ]
POOR, HV [1 ]
机构：
[1] PRINCETON UNIV,DEPT ELECT ENGN,PRINCETON,NJ 08544
来源：
MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS | 1992年 / 5卷 / 01期
关键词：
DEFLECTION RATIO; GENERALIZED SIGNAL-TO-NOISE RATIO; QUADRATIC DETECTION; STOCHASTIC SIGNAL DETECTION; REPRODUCING KERNEL HILBERT SPACE;
D O I：
10.1007/BF01211977
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The generalized signal-to-noise ratio (GSNR) is a measure of performance often used in evaluating binary hypothesis testing procedures. In this paper, we investigate the properties of the GSNR as applied to the evaluation of quadratic detectors with Gaussian hypotheses. Appealing to reproducing kernel Hilbert space theory, we give a representation for the GSNR that is particularly useful for evaluating extremal properties. Finally, we discuss an alternative performance measure that is both intuitively appealing and superior to the GSNR in some respects.
引用
收藏
页码：81 / 91
页数：11
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