在无线电频谱监测应用中,要求能够及时发现观测频段内频谱图像的异常情况.提出了一种基于单类支持向量机(v - OCSVM)模型的频谱异常检测方法,通过实验检测和ROC曲线分析,表明v - OCSVM模型用于频谱异常检测是可行的.%In applications of the radio spectrum monitoring, it requires to be found in the frequency spectrum in time observation abnormalities of the image. This paper puts forward a nomaly detection methods in spectrum based on one class support vector machine ( v-OCSVM) model, through the experimental detection and ROC curves analysis, shows that v - OCSVM model can bu used for spectrum anomaly detection.
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