Operation of discrete convolution and discrete correlation will spend too much time to process a signal in time.

时域离散卷积和相关运算一般耗时太长，对信号进行处理的实时性较差。

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This paper develops a simple aggregate model of discrete-continuous demand to motivate how this correlation can be tested using simple regression techniques and readily available firm data.

在本文中，我们提供了一个简单的基于离散-连续需求的加总模型，用来说明对这种相关关系的检测如何可以用简单的回归实现。

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Data correlation coefficients were calculated and switch regions were analyzed by using two dimension discrete cosine transform (DCT) in ray-space data compression.

在光线空间的数据压缩中，计算了数据的相关系数，采用二维离散余弦变换(DCT)进行了变换域分析。

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