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- The first one is chosen using time series method, and the second is obtained from measurements using the autocovariance function of the stationary stochastic process. 二是应用平稳随机过程的自协方差函数从双差观测值中提取的正则化矩阵。
- strong stationary stochastic process 强平稳随机过程
- weakly stationary stochastic process 弱平稳随机过程
- NUMERICAL SIMULATION OF STATIONARY STOCHASTIC PROCESS IN ENGINEERING 工程平稳随机过程的数值模拟研究
- Stability of the Sum of Stationary Stochastic Process and Its Derivative 平稳随机过程与其导数之和的平稳性
- Method to Estimate Parameters of Piecewise Stationary Stochastic Process 一种分段平稳随机信号的参数识别方法
- jointly stationary stochastic processes 联合平稳随机过程
- AN ADVANCED METHOD TO ESTIMATE PARAMETERS OF PIECEWISE STATIONARY STOCHASTIC PROCESS 一种改进的分段平稳随机过程的参数估计方法
- stationary stochastic process 平稳随机过程
- Spectra Analysis of Non-uniformly Sampled Signal of Stationary Stochastic Processes 平稳随机信号非均匀采样的分析
- Spectrum and Spectrum Indication of Output Correlation Function of the n-th Derivative of Stationary Stochastic Processes Passing Through Linear Dynamics System 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
- stationary stochastic processes 平稳随机过程
- Advanced Probability Theory Mathematical Statistics Linear Statistical Analysis Stationary Stochastic Processes and Time Series Analysis Survey Sampling Design and Analysis of Experiments Stochastic Processes Statistics Software 高等概率论高等数理统计线性统计分析平稳过程与时间序列分析抽样调查试验设计与分析随机过程统计软件
- Topics on Stochastic Processes Non-parametric Statistics Reliability Theory Topics on Mathematical Statistics Advanced Course in Stochastic Processes Stationary Stochastic Processes and Time Series Analysis(2) 随机过程选讲非参数统计可靠性理论数理统计选讲高等随机过程平稳过程与时间序列分析(2)
- By means of stochastic process theory, the bounded convergence of least mean square algorithm (LMS) is studied without data stationary assumption and ergodicity condition. 在无过程数据平稳性假设和各态遍历等条件下 ;运用随机过程理论研究了最小均方算法 (LMS)的有界收敛性 ;给出了估计误差的上界 ;论述了LMS算法收敛因子或步长的选择方法 ;以使参数估计误差上界最小 .
- Markov Process is an extensively applied stochastic process model. 马尔可夫过程是一个有着广泛应用的随机过程模型.
- Through identifies ASF error model by virtue of modern time series analysis theory,the study result shows that the fixed ASF error is basically a stationary stochastic process. Last some useful conclutions are derived by modeling and predict. 对误差模型进行了系统辨识研究,研究结果表明定点附加二次相位因子(ASF)误差基本属于平稳随机过程。 并运用时间序列分析方法对BPL长波传播中附加二次相位因子(ASF)进行研究,取得初步模型数据,得到一些有益的结论,为获得的模型数据为进行ASF误差的预测及扣除其对长波BPL授时影响,提高授时精度的研究提供了依据。
- The set of past events affecting a given event in a stochastic process. 过去发生的事在一随机过程中影响一给定事件的过去发生的一组事件
- stationary stochastic excitation 平稳随机激励
- As we all known, Brownian motion is an important type of stochastic process. 我们大家都知道，布朗运动是一类很重要的随机过程。
