DIVERGENCE AND BHATTACHARYYA DISTANCE MEASURES IN SIGNAL SELECTION
DIVERGENCE AND BHATTACHARYYA DISTANCE MEASURES IN SIGNAL SELECTION
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DOI：
10.1109/tcom.1967.1089532
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发表时间：
1967-01-01
期刊：
影响因子：
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通讯作者：
KAILATH, T
中科院分区：
文献类型：
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作者：
KAILATH, T
使误差概率最小化以确定最佳信号常常是难以实现的。因此，几个次优性能的措施，更容易比错误概率的评估和操作进行了研究。在这篇部分教程的论文中，我们比较了一个常用的度量，发散度，与一个我们称为Bhattacharyya距离的新度量的性质。这种新的距离度量通常比散度更容易评估。在我们研究过的问题中，它给出的结果至少和散度给出的结果一样好，而且往往更好。
Minimization of the error probability to determine optimum signals is often difficult to carry out. Consequently, several suboptimum performance measures that are easier than the error probability to evaluate and manipulate have been studied. In this partly tutorial paper, we compare the properties of an often used measure, the divergence, with a new measure that we have called the Bhattacharyya distance. This new distance measure is often easier to evaluate than the divergence. In the problems we have worked, it gives results that are at least as good as, and are often better, than those given by the divergence.