提出了一种利用高阶统计量对强噪声背景下的弱信号进行检测的方法。
A method on weak signal detection in a stronger noise background based on high-order statistics is presented in this paper.
利用高阶统计量模糊神经网络方法对液压系统故障进行诊断，解决低信噪比故障特征信号下的故障诊断问题。
A method to diagnose the fault of the hydraulic system based on the high order cumulant fuzzy neural network method is presented.
该方法利用原图像的均值图像设计编码码书，利用高阶统计量对域块进行分类，可以有效地减少域池中域块之间的相关性。
This method USES the mean image to generate the domain pool, then, classes the domain blocks according to their high order statistics.
本文利用高阶循环统计量讨论几乎周期滑动平均(apma)信号参数的闭式递推估计。
This paper deals with the closed form recursive estimation for parameters of almost periodic moving average (APMA) signal using higher order cyclic statistics.
文章首先介绍了高阶统计量的定义和性质，特别指出了高阶统计量对高斯过程不敏感，这是我们利用它进行信号检测和估计的理论依据。
First, the definition and properties of HOS are introduced. We especially notice that HOS is insensitive to Gaussian process. This is the theoretical basis of signal detection and estimation.
利用随机变量的各阶矩的性质，构造了一种基于高阶统计量的背景估计方法，并将其应用于静态背景下的运动目标检测。
An approach of background estimation is presented using characters of random variable moments and applied in moving object detection under static background.
利用随机变量的各阶矩的性质，构造了一种基于高阶统计量的背景估计方法，并将其应用于静态背景下的运动目标检测。
An approach of background estimation is presented using characters of random variable moments and applied in moving object detection under static background.
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