平稳过程

  • 网络Stationary process;Stationary random process;Trend-Stationary Process
平稳过程平稳过程
  1. 本文研究多维平稳过程x(t)对线性系统的滤波问题。

    In this paper the filtering problem of multidimensional stationary process x ( t ) for a linear system is studied .

  2. p-平稳过程的最大Ch熵谱估计

    Maximum ch - entropy estimator of p-adic stationary process

  3. 验证了把CS(周期平稳过程算法)应用于选择性信道下进行频偏估计的可行性。

    Demonstrating the feasibility using CS ( Cyclostationary ) algorithms to estimate frequency offset in selective channel .

  4. EMD分解法是一种自适应的信号处理方法,适用于分析非线性、非平稳过程。

    The EMD method is a new method to analyze instability and nonlinearity .

  5. SPWM变频调速与机械转子系统起动非平稳过程建模

    Modeling on the Nonstationary Starting Process of SPWM Frequency Control and Mechanic Rotor System

  6. 平稳过程的条件概率密度非参数估计的L1-模强相合性

    Almost Sure L1 - Norm Convergence of Nonparametric Estimation of Conditional Probability Densities of Stationary processes

  7. HilbertHuang变换是一种新的自适应信号处理方法,它适合于处理非线性和非平稳过程。

    Hilbert-Huang Transform ( HHT ) is a new and self-adaptive signal processing method which is suitable for non-linear and non-stationary process .

  8. 同时PSO算法受系统跃变的影响较小,因此它在求解非平稳过程模型系统时具有一定的优势。

    In addition , the PSO algorithm is relatively little affected by system jump , which has a certain advantage in the non-stationary process model .

  9. DCE与CBOT大豆期货价格平稳过程的比较研究

    A Comparative Study on the Stable Process of Soybean Futures Price Between DCE and CBOT

  10. 本文使用Granger协整检验方法对DCE(大连商品交易所)和CBOT(芝加哥商品交易所)大豆期货价格的平稳过程作了比较研究。

    This paper studies stable process of soybean futures prices between DCE and CBOT by Granger co-integration test .

  11. 假设{X(t),t∈R}是由广义Wiener随机积分所定义的四重马氏平稳过程。

    Let { X ( t ), t ∈ R1 } be a quadruple Markov stationary process which is defined by a generalized Wiener integral .

  12. 结合HHT的优越性、固体潮的特点和地震的非平稳过程特性,设计重力固体潮地震前兆分析的瞬时频率特征参数;

    Based on superiority of HHT , the character of gravity tide and nonstationary processes of earthquake , we design characteristic parameters of instantaneous frequency of gravity tide .

  13. 当x(t)是满秩正则平稳过程时,给出了最优解ξ的谱特征和均方误差,并且找到了ξ存在的充分必要条件。

    When x ( t ) is full rank regular stationary process , spectral characteristic and mean square error of optimal solution is given and the necessary and sufficient condition for the existence of ξ is found ( See theorem 1 、 2 ) .

  14. EMD方法是对非线性、非平稳过程数据进行距平化的好方法,距平化的过程和消除趋势项的处理是统一的。

    Therefore , it is suggested that the EMD method is a good method for demeaning the nonlinear and nonstationary process data , and the demeaning process and the data detrending are unified .

  15. 其中,数据序列随时间变化的均值可用多项式或指数函数描述,而零均值的平稳过程可用AR(n)或ARMA(n,m)模型拟合。

    In this model , the mean of data variation with time can be described by polynomial or exponential expression , and the stable process of zero mean by random process model AR ( n ) or ARMA ( n , m ) .

  16. 本文设计了一个考虑地形、湍流统计量垂直非均匀和非平稳过程影响的三维中尺度Monte-Carlo多源模式。

    A three-dimensional mesoscale Monte-Carlo model in which orographic influence , vertical asymmetry of turbulent statistic and non-equilibrium effect are considered has been used to study the spatial and temporal distribution of atmospheric SO2 concentration in ZHUHAI region .

  17. 根据频率选择性衰落信道的抽头延迟线模型,将针对平坦衰落信道的CS(周期平稳过程理论)频偏盲估计算法扩展到了频率选择性衰落信道,并通过仿真证明这种扩展是可行的。

    This paper employs the tapped delay line channel model for frequency-selective fading channels to extend a frequency offset blind estimation algorithm based on cyclostationary , which is proposed for flat fading channels , to frequency-selective fading channels . Simulations proves the feasibility of this extension .

  18. 这意味着我国产出特征可通过简洁的趋势平稳过程来描述,而NelsonandPlosser(1982)以来普遍采用的单位根过程未必是刻画我国产出的最优模型。

    This implies that the gross output can be treated as a trend stationary process , and the difference stationary process widely adopted since Nelson and Plosser ( 1982 ) is not necessarily the best model for China 's output .

  19. 多维平稳过程对线性系统的滤波问题

    On Filtering Problem of Multidimensional Stationary Process for a Linear System

  20. 非参数密度估计量对于一个连续时间非平稳过程的相合性

    Nonparametric Density Estimation of a Continuous Time Parameter Nonstationary Stochastic Process

  21. 集值平稳过程的强大数定律

    A Strong Large Numbers Law of the Set value Stationary Processes

  22. 并元平稳过程的谱展式

    The Spectral Representations of Dyadic Stationary Processes The Spectra of Hypercubes

  23. 用机电耦合模型研究转子系统的非平稳过程

    Studying Non-Stationary Pocesses of Rotor Systems Based on an Electromechanical-Coupling Model

  24. 两参数马氏过程,鞅及平稳过程之间的关系

    The Relations of Two-parameter Markov Processes , Martingales and Stationary Processes

  25. 二重马氏平稳过程泛函的一些概率性质

    Some Probabilistic Properties of Functionals of Double Markov Stationary Processes

  26. 平稳过程突变的在线检测与辨识

    Online Detection and Identification for Abrupt Change in Stationary Process

  27. 两指标线性平稳过程的样本值的两个收敛速度

    Two convergence rates of the sample value of two-parameter linear stationary process

  28. 关于并元弱平稳过程自相关函数的外推

    On Extrapolation of Autocorrelation Function for Dyadically weakly Stationary Processes

  29. 关于平稳过程自谱密度运算中的两个问题

    On Two Problems in Calculating Self-spectrum Density of Smooth Process

  30. 周期性平稳过程和数字频谱的计算

    Periodic wide Sense Stationary Process and Calculations of Its Spectrum