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平稳函数

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The concept of statistical property transformation is discussed according to the situation in which channel input is stationary and non-identically independent distribution with a priori known autocorrelation function.

在此基础上针对输入信号为平稳非独立同分布且有已知自相关函数的情况,引入统计特性变换,导出了变换阵的闭式解。

Pole-placement and Inner model tuning methods are discussed finally;(2) For the linear derivative action, several different tracker-differentiators are presented to improve the quality of the derivative signals;(3) A neural network tuning method is given for the nonlinear PID controller which includes the above tracker-differentiator;(4) For the linear integral action, a nonlinear pre-phase integrator is studied in order to decrease the phase delay problem; Simulation results show that the nonlinear PID controller including the pre-phase integrator posseses better performance in both fast and stable property, and strong ability of anti-disturbance;(5) A simple optimal criteria is introduced to optimize the parameters of the nonlinear PID controller based on the pre-phase integrator.

仿真研究表明,由此形成的非线性复合积分PID控制系统,具有快速而平稳的过渡过程和超强的干扰抑制能力;(5)采用物理意义简单明确的目标函数的优化设计方法,对上述非线性PID控制器进行参数整定,达到了满意控制典型工业过程的目的。通过对直线电机伺服系统的仿真研究,表明该种非线性控制器具有同时跟踪多个目标的优越性能。

We give several sufficient conditions of NA and NSD properties of random variables, compare the closeness of distribution functions of order statistics between NA and independent rv's, investigate properties of NSD defined by supermodular functions, study the dependence structure of stationary Markov process and order statistics and their spacings from two samples, establish stochastic comparisons of order statistics of heterogeneous rv's in the hazard rate and the reversed hazard rate orders, and give the first analytic proof of the closure property of the up shifted likelihood ratio order under convolution.

给出判定一组随机变量NA性质的几个充分条件,并给出NA和独立随机变量的次序统计量之间"贴近性"的比较,系统地研究基于特殊函数类所定义的NSD负相依概念,给出一些判别NSD性质的结构定理和一些有用概率不等式。系统研究平稳马氏过程的相依结构。研究两样本次序统计量及其问题隔的相依结构。在失效率、反向失效率序和似然序意义下给出非齐次随机变量次序统计量的比较。给出上漂移似然序卷积封闭性的第一个解析证明。

Comparing EMD method with traditional FFT method in the analytical process, Hilbert-Huang transformation is found to be superior in performance. Structural response of the warship subjected to underwater explosion is simulated numerically, and EMD method is applied to analyzing the structural impulse signals.

该方法不把信号分解成正弦或余弦函数,因此既能分析线性稳态信号又可用于非线性非平稳信号的分析,且避免了高频干扰结果的出现,被认为是近年来对以Fourier变换为基础的线性和稳态谱分析的一个重大突破。

The stationary conditions and autocorrelation function are derived.

讨论了混合自回归滑动平均模型的平稳性条件和自相关函数。

In this paper we use the nonparametric MLE of the marginal distributions of Xt and Yt to construct estimates of the mean, autocovariance and autocorrelation functions of the original signal process {Xt}.

本文在左截断数据模型下估计平稳信号过程的{Xt}均值,自协方差函数,和自相关系数。

In Chapter 2,I consider a queuing system in which there are two exponential servers, each having his own queue, and arriving customers will join the two queues separately, and analyze the two-dimensional Markov process representing the numbers of jobs in the two stations. A functional equation for the generating function of the stationary distribution of this two-dimensional process is derived and solved through the theory of Riemann-Hilbert boundary value problems. In Chapter 3, I consider the system with two parallel queues, in which arrivals join the shorter queue.I describe the problem of coupling and show that the generating function Fcan be continued as a meromorphic function to the whole complex plane.

全文包括三大部分:第一章介绍了基本的背景、研究进展和文章主要采用的方法;第二章研究的是有两个服务员共享的简单的排队方式的模型,即每个服务员有各自的队列,两队队长互不相关,分析了代表两个队长的二维马尔柯夫过程,推导出了二维过程的平稳分布的母函数的方程,并运用Riemann—Hilbert边值问题理论解出了母函数的表达式;第三章研究的是JSQ-PS模型(the joining the shortest queue model with processor sharing),模型是组合了加入最短队模型和处理器共享模型而成的有用排队模型。

This paper is concerned with two problems: First, a formula is derived to estimate the error of system identification from the autoeorrelative function of stationary random disturbances and that of pseudo-random sequences. It can be used to select the type of pseudo-random sequences to be used for quick identification with a given error.

本文讨论了两个问题:(1)导出了平稳随机干扰的自相关函数、伪随机序列的自相关函数和系统脉冲响应辨识误差之间的定量关系式,可用来选择伪随机序列和估计试验误差。

By using integral periodogram to estimate the spectral functions of a stationary time series, the invariance principle for the error process has been demonstrated either for Gaussian or non-Gaussian series.

用积分周期图估计平稳时间序列的谱函数,不论是高斯序列还是非高斯序列,其误差过程的不变原理都已被证明 ̄([1],[3]),许重光 ̄[5]采用自迥归谱估计的积分估计谱函数也证明了误差过程的不变原理成立。

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。

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