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At last, the results demonstrate that the generalized S-transform has more flexible time-frequency focusing property than S-transform.
试验结果表明,广义s变换比基本s变换具有更灵活的时频聚焦性。
A new approach combining S-transform and Extension Neural Network (ENN) to classify power quality disturbances is proposed in this paper.
提出了一种基于S变换和扩张神经网络的电能质量扰动分类方法。
A new approach of classification of short duration power quality disturbances using generalized S-transform and fuzzy pattern recognition is proposed.
针对电能质量的短时扰动的分类问题,提出了一种基于广义s变换和模糊模式识别的短时电能质量的分类方法。
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