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Perceptual spectrum waterfall of pattern shape recognition algorithm

机译:图案形状识别算法的感知光谱瀑布

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摘要

This article presents a novel recognizable spectrum sensing algorithm. This algorithm is the perception spectrum waterfall features for image pattern recognition algorithm, it referred to the pattern shape recognition algorithm. This algorithms has occurred band spectrum waterfall uncertain state of the spectrum width and the length of time by machine self-learning, and to establish the pattern shape recognition library. The experiments showed that is algorithms has higher recognition rate of the primary user than the image pattern recognition algorithm, and more applicable spectrum sensing.
机译:本文提出了一种新颖的可识别频谱传感算法。该算法是图像模式识别算法的感知光谱瀑布特征,它提到了图案形状识别算法。该算法已经发生了频谱宽度的频谱宽度和机器自学习的时间长度,并建立图案形状识别库。实验表明,算法具有比图像模式识别识别算法更高的主用户识别率,更适用的频谱感测。

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