广义平稳

建立了基于广义平稳不相关散射假设（WSSUS）下的多径时变信道模型。

The multipath and time-varing wireless channel model based on WSSUS is presented .

广义平稳非相关散射WSSUS（Wide-SenseStationary-UncorrelatedScattering）信道模型是移动通信中时变多径信道的常用模型，其二阶统计特性可由散射函数Ps（v，τ）完全确定。

The wide-sense stationary-uncorrelated scattering ( WSSUS ) channel model is a commonly employed model for the time-varying multipath channel experienced in mobile communications . The second-order statistics of these channels are fully determined by the scattering function P s ( v ,τ) .

针对广义平稳非相干散射（WSSUS）多径时变信道，提出一种离散延迟-离散多普勒频率的频移滤波器组模型，并以此为基础提出一种时变多径信道仿真方法。

A " frequency shifted filter bank " model with discrete delay and discrete Doppler is derived for wide-sense stationary uncorrelated scattering ( WSSUS ) time-variant multipath channel , based on which a simulation method is constructed .

红外起伏背景的广义平稳特性研究

Study on wide-sense stationary properties of infrared clutter background

研究的主要结论有：（1）经过平稳性和各态历经性检验，凤凰一桥和崖门大桥抖振响应过程具有广义平稳性和广义各态历经性。

Buffeting response processes of the Phoenix Bridge and the Yamen Bridge are stationary and ergodic by close verification .

广义平稳高斯场的附属场的大（小）标度极限定理

The large scale ( short scale ) limit Theorm about the subordinated random fields of the generalized stationary Gaussian random fields

提出了一种通用性强、适用于广义平稳随机过程非均匀采样信号谱分析的新方法&采样间隔统计分析法。

A new method , the sampling interval stat. analysis method , was set up to analyze the non-uniformly sampling signal of the wide-sense stationary random processes .

系统阐述了现在普遍采用的用于描述杂波的方法：将杂波看成一个广义平稳的随机过程，则可用其自相关函数和一维概率密度函数来刻画。

Introduce a commonly used method for clutter description : As the radar clutter can be classify as a Wide-sense Stationary Random Process ( WSRP ), it can be defined by its correlation function and one-dimension Probability Distribution Function ( PDF ) .

本文引入平稳随机点过程的知识，建立了广义平稳随机信号的非均匀采样序列模型，推导了其数字频谱的一般公式，分析了具有典型分布函数的随机采样情况。

This paper introduces knowledge of stationary stochastic point processes to make a model of non-uniformly sampled signal of random processes , derives the spectra representation , and discusses some stochastic sampling cases in which the data is sampled by typical distribution function .

本文证明了在适当条件下，广义平稳高斯场的附属场的大（小）标度极限存在，主要结果见定理3.1和定理3.2。

Under some reasonable hypotheses , we show that the large scale ( short scale ) limit for the subordinated random fields of the generalized stationary Gaussian random fields exists . The main results of this paper are theorems ( 3.1 ) and ( 3.2 ) .

一类广义非平稳过程泛函结构的特征刻划与随机分析

Characteristics Score and Statistics Analysis of Functional Structure of Generalized Nonstationary Random Process

广义循环平稳随机过程的定义及其性质

Definition and Properties of General Cyclostationary Stochastic Process

滞后广义系统的平稳振荡

Harmonic oscillation of singular systems with time-delay