AN RKHS APPROACH TO ROBUST L-2 ESTIMATION AND SIGNAL-DETECTION

被引：10
作者：
BARTON, RJ
POOR, HV
机构：
[1] UNIV ILLINOIS,DEPT ELECT ENGN,URBANA,IL 61801
[2] UNIV ILLINOIS,COORDINATED SCI LAB,URBANA,IL 61801
来源：
IEEE TRANSACTIONS ON INFORMATION THEORY | 1990年 / 36卷 / 03期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/18.54898
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 application of reproducing kernel Hilbert space (RKHS) theory to the problems of robust signal detection and estimation is investigated. It is shown that this approach provides a general and unified framework in which to analyze the problems of L2 estimation, matched filtering, and quadratic detection in the presence of uncertainties regarding the second-order structure of the random processes involved. © 1990 IEEE
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页码：485 / 501
页数：17
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