Sub-Optimum Signal Linear Detector Using Wavelets and Support Vector Machines
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2007-05-23 v1 神经与进化计算
摘要
The problem of known signal detection in Additive White Gaussian Noise is considered. In previous work, a new detection scheme was introduced by the authors, and it was demonstrated that optimum performance cannot be reached in a real implementation. In this paper we analyse Support Vector Machines (SVM) as an alternative, evaluating the results in terms of Probability of detection curves for a fixed Probability of false alarm.
引用
@article{arxiv.cs/0505051,
title = {Sub-Optimum Signal Linear Detector Using Wavelets and Support Vector Machines},
author = {Jaime Gomez and Ignacio Melgar and Juan Seijas and Diego Andina},
journal= {arXiv preprint arXiv:cs/0505051},
year = {2007}
}
备注
6 pages