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。
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。
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。
The design rules of the perfect discrete single usually include periodic correlation and aperiodic correlation, dyadic correlation, etc.
最佳离散信号一般以循环相关、非循环相关、并元相关等为设计准则。
The design rules of the perfect discrete single usually include periodic correlation and aperiodic correlation, dyadic correlation, etc.
最佳离散信号一般以循环相关、非循环相关、并元相关等为设计准则。
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