This paper proposes a frequency spectrum analysis method and a fast algorithm on the interpolation signal with equal samples interval.
本文提出了等间隔加密信号的频谱分析方法和计算加密信号的快速算法。
ASM samples signal with no strictly equal intervals in order that each sampling point is close to synchronous sampling point.
近似同步法采用了不严格相等的采样间隔，从而使每个采样点都尽量靠近同步采样点。
The learning of Backpropagation Neural Network (BPNN) aimed at lowering the classification error, usually assuming that all the samples had equal price when misclassifications were made.
传统的反向传播神经网络(BPNN)学习以分类错误最小为目标，通常假定在分类错误时所有样本的代价完全相同。
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