平稳随机过程

在识别和提取人工周期项，并经FISHER检验后，可近似地认为它是平稳随机过程。

After distinguishing and extracting the man-made periodic terms and Fisher test , the residual component may be considered as a stationary stochastic process .

由于图像的缓变区域可等效为一个平稳随机过程，使得LMS算法能够适用。

Because the low frequency area of one image can be modeled as a stationary stochastic process , the LMS algorithm could be adopted .

在MATLAB中模拟平稳随机过程

Simulation of Stationary Random Process with MATLAB

分析表明在MATLAB中能够较好地模拟平稳随机过程。

The tested simulation results indicate that stationary random process can be simulated very well with MATLAB .

关于谱及平稳随机过程的n阶导数通过线性动力学系统输出的自相关函数的谱表示

Spectrum and Spectrum Indication of Output Correlation Function of the n-th Derivative of Stationary Stochastic Processes Passing Through Linear Dynamics System

ATM网络的ABR业务带宽模型是一非平稳随机过程。

ABR service in ATMnetwork is a non-stationary stochastic process .

探讨了三角级数合成方法模拟高斯平稳随机过程，着重研究了提高模拟效率的FFT方法。

Trigonometric series is used to simulate Gaussian stationary stochastic processes , and effective FFT method is adopted in particular .

我们利用信道一般服从平稳随机过程的原理，从Gauss随机过程出发构造了一个多径衰落信道的模拟平台。

Because of the stationary stochastic process of wireless channel , we choose a Gauss process to simulate the multi-path fading of channel .

平稳随机过程模拟的一个快速Hartley变换方法

Simulation of Stationary Stochastic Processes by Fast Hartley Transform

引入路面不平度来模拟桥面不平顺，假定路面不平度是服从Gauss概率分布，具有零均值、各态历经的平稳随机过程。

Road surface roughness is introduced to simulate bridge deck roughness . It is assumed to obey Gauss probability distribution , with zero mean , ergodic stationary random process .

平静状态下电离层总电子含量（TEC）随时间的变化通常可以视为平稳随机过程。

Usually , ionospheric Total Electron Conten ( TEC ) variation with time can be viewed as a stationary random process under quiet conditions .

传统的做法是在假设背景噪声为平稳随机过程的前提下，通过多次单实验信号的叠加平均（Superpositionandaverage，SA）来获得。

Conventional methods , which are based on the assumption that the background noise is stationary random processes , often obtain the ERPs signal by adopting superposition and average ( SA ) of single experiment signal through many times .

按照Priestly提出的演变随机过程理论，对非平稳随机过程的演变功率谱密度函数进行了理论推导，并给出了定义。

According to Priestly evolutionary random process theory , the evolutionary power spectra density function of nonstationary random process is presented by theory method .

利用首次超越破坏准则，并结合地震作用非平稳随机过程功率谱密度模型的随机谐和函数表达式，在Matlab平台上调用ANSYS通用程序进行结构动力可靠度计算。

The first passage failure criterion and stochastic harmonic function of power spectrum density model of non-stationary random process for earthquake action are utilized . The dynamic reliability computing of structures is performed based on the Matlab platform with calling the ANSYS general program .

本文利用平稳随机过程的穿越分析和极值的概率分析，给出了计算VONMISES应力过程峰值概率密度函数的公式，为进一步进行疲劳损伤及寿命分析打下了基础。

Based on the threshold crossing analysis and the peak distribution analysis of stationary random process , the general expression for the peak probability density function of a Von Mises stress process is described .

从谱相关函数和模糊函数（AF）的关系出发，利用平稳随机过程的线性周期时变变换定理，详细推导了3种复合信号的谱相关函数表达式，分析了其特性。

Based on the relation between SCF and AF , and LPTV theory of stationary stochastic process , in detail , the SCF of the above three compound signals is derived respectively , whose characterization is also exploited .

此公式的基本假设是将图像和噪声看成为平稳随机过程，从Bayes公式出发，求条件概率的最大值，对应找出原始图像的最佳估计值作为复原图像。

The formula is based on the Bayes rule and the ( assumption ), that the signal and noise are stationary random processes . The optimal estimation of original image is determined from the acquired image data while the conditional probability is maximized .

由平稳随机过程谱表示定理导出了平稳随机过程蒙特卡罗模拟的一个快速Hartley变换方法。

Based on the spectral representation theorem of stationary stochastic processes , in this paper , a method is propesed for Monte Carlo simulation of stationary stochastic processes by the fast Hartley transform .

依据平稳随机过程&高斯过程的相关性质，利用其自协方差函数和TEC时间系列，构建了独立同标准正态分布的观测样本，并利用x~2假设检验的方法来探测电离层异常现象。

Based on this fact , here we made use of the time series of TEC and the auto-covariance function of the stationary process to construct independent identical distribution Gauss sample so that the X ~ 2 test can be used to detect the abnormity hidden in the sequence .

根据平稳随机过程理论和抗震设计反应谱，对具有非比例阻尼特性的线性体系，给出了实数形式的复振型反应谱叠加法和复振型完全平方组合（CCQC）计算公式。

A real value form formula of complex mode response superposition method , which is based on the stationary random vibration theory and seismic design spectra , is derived to analysis the non-classically damped linear system .

在Kanai-Tajimi模型基础上，推出了包括3个平动分量和3个转动分量的地震激励加速度表达式，其被视为非平稳随机过程，并作数值仿真。

The six component earthquake ground motions were modeled as nonstationary random processes including three translations and three rotations . Based on Kanai Tajimi model , the formulas for all six components of seismic excitation acceleration were derived . The numerical simulation was performed .

非平稳随机过程非线性组合的首次超越可靠度

The First Crossing Reliability of Non Stationary Process Non linear Combination

一种改进的分段平稳随机过程的参数估计方法

An advanced method to estimate parameters of piecewise stationary stochastic process

一种窄带平稳随机过程功率谱的简化拟合方法

Simplified method to fit the power spectrum of narrow-band stochastic process

运用平稳随机过程研究金属表面的结构

Application of stationary random process to investigation of metal surface structure

建立一种非平稳随机过程整体推断方法。

An integral inference method for nonstationary stochastic process is established .

一维平稳随机过程的递推最佳滤波

A New Recursive Optimal Filtering of One-dimension Stationary Random Processes

按非平稳随机过程模拟自然风速的一种数值方法

A Numerical Method for Simulating Natural Wind Based on Nonstationary Random Process

关于平稳随机过程任意阶导数的平稳性

Stability of the Arbitrary Rank Derivatives of Stationary Stochastic Processes

非平稳随机过程功率谱密度初探

An Elementary Research on Non-stationary Process Power Spectral Density Function