4-4：The convolution property（卷积性质） 这是最重要的性质。 x1(t)←→X1(jω)，x2(t)←→X2(jω)，则x1(t)*x2(t)←→X1(jω).X2(jω) 即时域的卷积对应频域的乘积。
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Secondly, a SLM method based on the DFT property of the time domain circular convolution is studied.
然后重点分析了基于DFT的时域循环卷积性质的选择映射（SLM）方法，提出了一种基于SLM的改进方法。
By using the property of the separative matrices, a new approach to the convolution integral is presented.
应用分离矩阵的性质，得到了一类求解卷积的新方法。
The model fully illustrated the stochastic characteristic of WMN with the property that the input-output relation and sum functions of this model were bounded by a min-plus convolution function.
该流量模型的特征是其求和函数及其输入输出函数的边界函数均受限于一个最小加卷积函数。
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