平稳过程

Its mean function, variance function and correlation coefficient function can be gained by the method in time domain.

该方法首先在时域进行全程分析，得到相关系数平稳过程的均值函数、方差函数和相关系数函数，然后可以对其进行傅里叶变换、短时傅里叶变换或小波变换，给出相关系数平稳过程的谱密度，同时提出了随机项谱密度和趋势项谱密度的概念。

Stationary process: spectral decomposition of covariance function, spectral decomposition of stationary process, linear time invariant system, ergodic theorem, sampling theorem.

平稳过程：协方差函数的谱分解，平稳过程的谱分解，线性时不变系统，遍历定理，采样定理。

The methods of digital speech signal short-time processing with FPGA are presented in this paper.

0引言语音信号是非平稳过程，是时变的，但语音信号的特性随时间变换是缓慢的，在短时间内可以认为是局部平稳的。

The correlation coefficient stationary process in which the mean and variance vary with time is familiar in engineering,and the traditional correlation function stationary process is just a special case of that.

相关系数平稳过程是从非平稳过程中分离出的一类工程上常见且便于研究的随机过程，其均值和方差都可随时间变化，传统的平稳随机过程是它的一个特例。

The correlation coefficient stationary process in which the mean and variance vary with time is familiar in engineering, and the traditional correlation function stationary process is just a special case of that.

相关系数平稳过程是从非平衡过程中分离出的一类工程上常见且便于研究的随机过程，其均值和方差都可随时间变化，传统的平稳随机过程是它的一个特例。

But we discover that, those most important technical indicators are all stationary processes or their functional transformations. However, stationary process can be computed the frequency is well known.

我们发现，那些最重要的技术指标都是平稳过程或其函数变换，而平稳过程可以统计其频率是已有的结论。

On the basis of correlation coefficient stationary process ,this paper gives the definition of multi-dimensional correlation coefficient steady process and introducts the series of multi-dimensional correlation coefficient steady process.

在相关系数平稳过程的基础上，给出多维相关系数平稳过程的定义，建立了新的多维相关系数序列的理论和方法，给出了多维相关系数序列的极大似然估计。

This paper discusses the identifyability and identification algorithms for the non-minimum-phase linear system with unmeasurable non-stationary input.

摘要非平稳过程在实际中是大量遇到的，该文研究当系统输入是不可量测的非平稳过程时，系统相位的可辨识性及辨识方法。

Using augmented Dickey-Fuller test, the result shows that BDI logarithm series is nonstationary but the first difference is stationary, i. e. it is integrated of order one. High-level ARCH effect was certification in the BDI logarithm series by ARCH LM test, and GARCH (1, 1) model was used to eliminate the conditional heteroscedasticity. Through variance ratio test, the result shows, that the random walk hypothesis of BDI logarithm series can be rejected and international dry bulk shipping market is inefficient.

运用ADF检验方法对BDI的对数序列进行平稳性和单整检验，结果证明BDI对数序列是一个非平稳过程，经一阶差分后是平稳过程，即BDI对数序列是一阶单整过程；通过ARCH LM检验认为BDI对数序列存在高阶ARCH效应，并用GARCH(1，1)模型消除了残差序列的条件异方差性；通过方差比检验法对国际干散货航运市场的收益率序列进行了检验，结果显示BDI的对数序列的随机游走假设被拒绝，国际干散货航运市场不是一个有效的市场。

This paper summarizes the research job of predecessors, full text is divided in four part:The first part introduces the develop history and present conditions of MCRE;In the second part, the concept of average Markov process is introduced. Moreover we investigate the relations for Markov processes, martingales, stationary processes and average Markov process systematically.The third part summarizes the model that constructs the MCRE by p-m chains and skew product Markov chains by p-m chains, also we discuss the relations among the basic gunctions of the probability character for MCREIn the fourth part, we discuss the dimension of GW-tree and the canonical branching chain in random environment, furthermore we summarize the exact formulas of mathematical expectation and variance of branching chain in random environment.

本文主要是综述这方面前人工作，全文分成四个部分：第一部分介绍了MCRE的发展历史和研究现状；第二部分研究了马氏过程、鞅和平稳过程这三类经典的随机过程的相互关系，包括他们之间的包含和排斥关系，引入了&均马氏过程&的概念，研究了它与三类经典过程—马氏过程、鞅及平稳过程的关系；第三部分综述了用p-m链构造的构造的随机环境中的马氏链和绕积马氏链，讨论了与之相关的概率特性函数的性质；第四部分讨论了GW树的维数，并综述了随机环境中的典范的分枝链，讨论了随机环境中的分枝链的数学期望和方差的计算公式。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。