将经验模型分解方法应用于手写体数字识别，提出了一种新的识别方法。
This paper presents a novel method for handwritten numeral recognition based on empirical mode decomposition.
针对经验模态分解过程存在的边界效应问题，提出了利用AR模型进行包络延拓的边界处理算法。
For the end effect in the process of empirical mode decomposition, the envelope extension algorithm by using AR model is proposed.
针对经验模态分解过程存在的边界效应问题，提出了利用AR模型进行包络延拓的边界处理算法。
For the end effect in the process of empirical mode decomposition, the envelope extension algorithm by using AR model is proposed.
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