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。
The results show that this method can characterize various heart sounds in time-frequency domain, and establishes the basis for the classification and recognition of heart sound.
结果表明，该分析方法能够很好地表征心音的时频变化特性，为后续实现心音的分类与识别提供了参考。
The results show that this method can characterize various heart sounds in time-frequency domain, and establishes the basis for the classification and recognition of heart sound.
结果表明，该分析方法能够很好地表征心音的时频变化特性，为后续实现心音的分类与识别提供了参考。
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