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Feb, 2013
基于采样分布距离的最优判别函数用于调制分类
Optimal Discriminant Functions Based On Sampled Distribution Distance for Modulation Classification
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Paulo Urriza, Eric Rebeiz, Danijela Cabric
TL;DR
该论文提出了一种基于采样分布距离的最优判别函数方法，通过特定的测试点在累积分布函数上的分布距离对各种候选星座进行分类，该方法利用贝叶斯决策准则，并针对测试点进行了优化，具有明显的性能改进。
Abstract
In this letter, we derive the optimal
discriminant functions
for
modulation classification
based on the sampled distribution distance. The proposed method classifies various candidate constellations using a low c
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