与噪声相关的的几个基本概念 （2）噪声的统计特性(Statistical characteristics of noise) 由于噪声的取值不可预测，更不能用一个解析函数来定义，所以要 用概率和统计的方法来描述。
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So the signal generated by iteration of simple chaos mathematical model get the feature of randomness and owns the statistical characteristics similar to white noise.
因此，利用简单混沌数学模型迭代产生的信号具有随机性，其统计特性类似白噪声。
The fMRI noise is classified into structured and unstructured noise by their temporal characteristics, and their impacts to efficiency of statistical tests are discussed separately.
该方法根据噪声时域特性将其分为结构性噪声和非结构性噪声两类，它们对统计检验功效造成的影响在文中分别进行了讨论。
Integrating the statistical characteristics of speckle noise in SAR images with wavelet-domain Markov random field (MRF) structure of images, a new wavelet-domain spec.
基于图像在小波域的马尔可夫随机场模型(MRF)结构，结合SAR图像中相干斑噪声的统计特性，本文提出了一种新的小波域相干斑抑制方法。
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