A classification method based on Support Vector Machine (SVM) is given in the digital modulation signal classification.

给出了一种基于支持向量机的数字调制信号分类器设计方法。

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A new method for modulation classification based on Support Vector Machine (SVM) is presented.

提出一种基于支持向量机的实际调制信号自动识别新方法。

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Compared with PAM (pole Amplitude Modulation) theory, the minimum symmetric group theory is more effective in implementation of ac machine pole-changing winding's non-regular arrangements.

与PAM(极幅调制)理论相比，最小对称组理论可更有效地实现交流电机变极绕组非正规方案。

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