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stochastic signals
相关语句
  随机信号
     Wavelet analysis of stochastic signals(Ⅱ)
     随机信号的小波分析(Ⅱ)
短句来源
     2. Autocvarfances and power spectral density of the stochastic signals at every pointis the systems are derived; 3. According to the results 1. and 2. from above, the formulas (see table Ⅱ) of eval-uating the N sampling variances <σ_y~2 (N,T_0,, T)> for serveral main stochastic signalswith the power law spectral density type are devived;
     2.导出了系统各点随机信号的自协方差函数、功率谱密度函数, 3.根据1.2.结果,导出了几种主要随机信号谱型的N抽样方差<σ_y~2(N,T_0,T)>的计算公式(见表Ⅱ);
短句来源
     formulas of evaluating N sampling variances <σy2(N, T0, T)>or serveral main stochastic signals with the power law spectral type;
     根据前两点还导出了几种主要随机信号谱型的N抽样方差必〈σ_y~2(N,T_0,T)〉的计算公式;
短句来源
     Based on decomposition and reconstruction of the signals by filter sets,the trend-signal is separated from stationary stochastic signals.
     这种方法通过滤波器组将信号分解与重构,实现趋向性信号与零均值平稳随机信号的分离。
短句来源
     Application of deterministic chaos theory analysis to engineering stochastic signals
     工程随机信号的确定性混沌理论分析方法
短句来源
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  “stochastic signals”译为未确定词的双语例句
     Multiscale systems can be divided into two categories: SMS (Statistical Multiscale System) and DMS (Dynamic Multiscale System). SMS theory is to discuss the multiscale processing techniques of stochastic signals. DMS theory is to get the real time estimation of the states of the dynamic systems.
     目前,一般将多尺度系统分为两大类:SMS(统计多尺度系统,Statistical Multiscale System)和DMS(动态多尺度系统,Dynamic Multiscale System)。
短句来源
     Waveform Estimation of Non-Stationary Fractal Stochastic Signals Using Optimum Threshold Technique
     非平稳分形随机信号波形估计的最优门限方法
短句来源
     Thus the chaotic signal in the beds is with the strong noise, which is formed from some inherent stochastic signals in the beds.
     流化床中的混沌是在强噪声背景下的混沌运动。
短句来源
     This paper analyses the irregularity of sliver or rovings by applying ARMA model spectrum technique. Comparing the model spectrum with a wave spectrum form evenness tester, it is discovered that a desired wave spectrum can be obtained using model from ARMA(5,1) toARMA(8,2) when a original signal had been filtered by FIR lower pass filter whose length is21. This paper also discusses the stability of stochastic signals from slivers or rovings.
     本文采用ARMA模型谱分析纱条不匀,通过与条干仪分析结果对比发现,在对信号经21阶 FIR低通滤波器滤波后,选择ARMA(5,1)到ARMA(8,2)的模型,能得到较好的分析结果。 对此,本文检验了不少纱条不匀信号的非稳定性,这在选择模型参数辨识方法时应予注意。
短句来源
  相似匹配句对
     Analysis and Simulation of Stochastic Signals in Control
     控制系统中随机信号的仿真与分析
短句来源
     Wavelet analysis of stochastic signals(Ⅱ)
     随机信号的小波分析(Ⅱ)
短句来源
     of broadcasting signals.
     主要实现了对异地广播信号的实时监测,录音,数据存储,异常告警等功能。
短句来源
     recombination of signals.
     信号重组。
短句来源
     STOCHASTIC MATRIX GAME
     随机矩阵对策
短句来源
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  stochastic signals
This paper presents a hardware method to digitally simulate nonstationary stochastic signals which are analyzed using the procedures outlined in the first paper.
      
Multidimensional Nonlinear Schur Parametrization of NonGaussian Stochastic Signals Part Three: Low-Complexity Staircase Solution
      
Multidimensional Nonlinear Schur Parametrization of NonGaussian Stochastic Signals, Part Two: Generalized Schur Algorithm
      
The subject of this three-part paper is the multidimensional nonlinear Schur parametrization problem for higher-order (and non-Gaussian) stochastic signals.
      
Multidimensional Nonlinear Schur Parametrization of NonGaussian Stochastic Signals.
      
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In this dissertation according to the stochastic signal processing theory, analysis offrequency stability problems by using signal processing models (or systems) is presented.This dissertation paper gives the following results. 1. By use of (7) aed (11), systems and subsystems' unit:mpulse responses, transferfunctions, autocorrelations' of unit impulse responses, power or energy transfer functionsand related transfer functions are derived (see fig.1); 2. Autocvarfances and power spectral density of the stochastic...

In this dissertation according to the stochastic signal processing theory, analysis offrequency stability problems by using signal processing models (or systems) is presented.This dissertation paper gives the following results. 1. By use of (7) aed (11), systems and subsystems' unit:mpulse responses, transferfunctions, autocorrelations' of unit impulse responses, power or energy transfer functionsand related transfer functions are derived (see fig.1); 2. Autocvarfances and power spectral density of the stochastic signals at every pointis the systems are derived; 3. According to the results 1. and 2. from above, the formulas (see table Ⅱ) of eval-uating the N sampling variances <σ_y~2 (N,T_0,, T)> for serveral main stochastic signalswith the power law spectral density type are devived; 4. The formulas (see table Ⅲ) of theory and of engineering use and related errorformulas for the Allan variances are devived. This dissertation points out that the formulas[2, 3, 5~7] (see table Ⅳ) for calculatingthe Allan variance for flicker phase noise are improper.

本文根据随机信号处理理论,提出了利用随机信号处理模型(或系统)来分析频稳问题。文中给出了如下结果; 1.利用(7)、(11)二式,导出了系统(见图1)及子系统的单位冲击响应、传输函数、单位冲击响应的自相关函数、功率或能量传输函数以及有关的Z传输函数; 2.导出了系统各点随机信号的自协方差函数、功率谱密度函数, 3.根据1.2.结果,导出了几种主要随机信号谱型的N抽样方差<σ_y~2(N,T_0,T)>的计算公式(见表Ⅱ); 4.导出了 Allan方差的理论公式、工程用公式以及相对误差公式(见表Ⅲ)。 本文指出了文献[2、3、5~7]中计算闪烁相位噪声的Allan方差公式是欠妥的。

The article proposes two kinds of Robust detection of stochastic signals in a minimax sense. When the S/N is larger (relating to contamination ε), the alternative can be written in a distribution function family (?)_1. According to Huber's theory we can find out a pair of least favorable Q_0, Q_1 from (?)_0、(?)_1. The minimax result is obtained for arbitravy approximate distribute. For the approximate Gaussian distribution, the structure of a Robust detector is given.When the S/N is smaller, the Robust...

The article proposes two kinds of Robust detection of stochastic signals in a minimax sense. When the S/N is larger (relating to contamination ε), the alternative can be written in a distribution function family (?)_1. According to Huber's theory we can find out a pair of least favorable Q_0, Q_1 from (?)_0、(?)_1. The minimax result is obtained for arbitravy approximate distribute. For the approximate Gaussian distribution, the structure of a Robust detector is given.When the S/N is smaller, the Robust detection of stochastic signals is discussed from its efficiency. When the noiseis symmetry and the menas of signals is not always zero, the Robust detector whose efficiency is maximuin has been given.

本文在极小极大意义上,提出了两类随机信号的Robust检測。当信噪比較大时(相对于污染度ε而言),可把备选假設写成(?)_1分布函数族,然后根据Huber的理論,从(?)_0、(?)_1中寻找一对最不利分布Q_0、Q_1,得到了任意近似分布的极小极大解。对近似高斯分布,給出了Robust型检測器的結构。当信噪比較小时,本文从效驗的角度,探討了随机信号的Robust检測。当噪声分布为对称,信号的均值不恆为0时,給出了使效驗为极大极小的Robust型检測器。

An approach to frequency stability analysis using signal processing models (or systems) based on the stochastic signal processing theory is proposed, and the following are derived: unit impulse responses, tranfer functions, autocorrelations of the unit impulse responses, power or energy transfer functions of systems and subsystems; auto-covariances and power spectral density of the stochastic signals at every point in the systems; formulas of evaluating N sampling variances <σy2(N, T0, T)>or serveral main...

An approach to frequency stability analysis using signal processing models (or systems) based on the stochastic signal processing theory is proposed, and the following are derived: unit impulse responses, tranfer functions, autocorrelations of the unit impulse responses, power or energy transfer functions of systems and subsystems; auto-covariances and power spectral density of the stochastic signals at every point in the systems; formulas of evaluating N sampling variances <σy2(N, T0, T)>or serveral main stochastic signals with the power law spectral type; and the theoretical, engineering and relative error formulas for the Allan variance.It is also pointed out that the Allan variance formulas in some literature [3,8,9-11] for calculating the flicker phase noise are improper.

本文根据随机信号处理理论,提出了利用随机信号处理模型(或系统)来分析频稳问题。文中导出了系统及子系统的单位冲击响应、传输函数、单位冲击响应的自相关函数、功率或能量传输函数;导出了系统各点随机信号的自协方差函数、功率谱密度函数;根据前两点还导出了几种主要随机信号谱型的N抽样方差必〈σ_y~2(N,T_0,T)〉的计算公式;导出了Allan方差的理论、工程计算及相对误差公式。 本文还指出了,文献[3,6,9~11]在计算闪烁相位噪声的Allan方差公式的不妥之处。

 
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