BINARY HYPOTHESIS-TESTING WITH STRUCTURED ADAPTIVE NETWORKS

被引：2
|
作者：
PAPADAKIS, INM
THOMOPOULOS, SCA
机构：
[1] Decision and Control Systems Laboratory, Department of Electrical and Computer Engineering, The Pennsylvania State University, University Park
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1994年 / 39卷 / 09期
关键词：
D O I：
10.1109/9.317137
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 problem of design and evaluation of binary hypothesis tests based on a set of available observations is considered. A so-called structured adaptive network (SAN) configuration for the modeling and implementation of a wide class of such tests is introduced. A general framework for the analysis and performance evaluation of a SAN is developed.
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页码：1967 / 1971
页数：5
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