...键词 ： 时频域特征 改进人工蜂群算法 LSSVM多分类器组 评估矩阵 [gap=1256]Keywords : time-frequency domain feature;improved artificial bee colony(IABC);multiple LSSVM classifier group;criterion ..
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The signal of instant vibration testing for soil compactness is analyzed both in time domain and frequency domain. Some feature parameters reflecting the characteristics of the signal are extracted.
从时间域和频率域两个角度对土密实度瞬态振动测试信号进行了分析，提取了信号的特征参量。
The feature extraction method based on efficient points of response curve is studied in time domain and frequency domain.
在时域和频域中给出了基于响应曲线波形有效点的模拟电路故障特征提取方法。
After analyzing their properties in time and frequency domain, we propose two feature-extraction methods and performed some classification experiments based on support vector machine. Ther...
在分析两类飞机时域、频域特性的基础上给出了两种特征提取方法，利用支持矢量机进行了识别实验，结果表明所提出的方法是可行的。
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