基于FrFT变换和全变分正则化的异常检测算法
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孙菲,厉小润,赵辽英,余绍奇
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Anomaly detection algorithm based on FrFT transform and total variation regularization
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Fei SUN,Xiao-run LI,Liao-ying ZHAO,Shao-qi YU
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表 2 不同算法在3个数据集上的 ${(\boldsymbol{P}}_{\mathbf{f}},\boldsymbol{\eta })$ |
Tab.2 $ {(P}_{\mathrm{f}},\eta ) $ of different methods in three datasets |
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数据集 | (Pf, η) | GRX | RPCA | FRFE | LSMAD | LRASR | 本文方法 | Urban | 0.0490 | 0.0219 | 0.0306 | 0.024 2 | 0.060 2 | 0.015 1 | Pavia | 0.0232 | 0.0061 | 0.0625 | 0.005 0 | 0.064 7 | 0.010 2 | Hyperion | 0.0402 | 0.0189 | 0.0141 | 0.010 7 | 0.066 1 | 0.012 3 |
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