分析表明，随着数据长度的增加，提出的算法的参数估计误差上界收敛到常数。
The analysis indicates that the mean square PEE upper bounds of the algorithm approach finite positive constants as the data length increases.
并通过引入最优逼近误差的自适应补偿项来消除建模误差和参数估计误差的影响。
The adaptive compensation term of the optimal approximation error is adopted to minimize the influence of the modeling error and the parameter estimation error.
仿真和实际数据处理的结果表明，该方法在参数估计误差和标准差方面明显优于其它算法。
The results of simulated and real data procession show that the proposed method favorably compares to other ones as to the parameter estimation error and its standard deviation.
利用随机过程理论研究了遗忘因子最小二乘法(FFLS)的有界收敛性，给出了参数估计误差的上界。
Based on stochastic process theory, the bounded convergence of forgetting factor least square algorithm (FFLS for short) is studied and the upper bound of the parameter tracking error is given.
通过引入非线性阻尼项，保证了闭环系统的所有信号都是全局稳定的，而且跟踪误差及参数估计误差均收敛于零。
By introducing nonlinear damping term, it is proved that all signals in the closed-loop system are globally stable, and the tracking error and the parameter (estimation) error converge to zero.
分析了离散时间线性系统模型参数估计误差的收敛性和收敛速度，对参数估计误差服从渐近正态分布的一些条件进行了讨论。
The convergent property and convergent rate of parameter estimation error are analyzed . Some sufficient conditions are given to guarantee the asymptotic normality of parameter estimation error.
与经典的最小二乘法相比，共优点是能有效地抑制非整次谐波误差对模型参数估计的影响。
Comparing with the least squares method, the advantage of this approach in that the influence of non-integer harmonic errors on the estimate of model parameters has been effectively restricted.
但是对实测的相关序列，我们可以利用相关序列的全部来减小误差对参数估计的影响。
But for case of measured correlation sequence the whole sequence may be used to reduce the effect of error on model parameter estimation.
预报误差校正是基于时间序列分析、参数估计和最优预报原理形成的。
The prediction error correction is based on time series analysis, parameters estimation and optimum prediction principle.
本文讨论了部分变量带误差的线性函数关系模型的参数估计问题。
In this paper, the problem of parameters estimation in linear functional relationship model with "error in some variables" is discussed.
本文将分形理论引入多径衰落信道的描述，提出了一种利用分形滤波进行最小均方误差意义下信道参数估计的方法。
The fractal theory was applied to describe multipath fading channels, and a novel channel estimation scheme using fractal filter in the sense of minimum mean square error (MMSE) was presented.
在目前靶场数据处理中，参数估计与补点计算等常用多项式拟合，往往带来较大的截断误差。
In currently range data processing, the estimate of parameters and patch calculating usually use polynomial to approximate, which often make much more truncation errors.
幅度增益和相位误差使得高分辨率的参数估计算法的性能下降，特别是相位的误差，将会引起参数估计的偏离。
Amplitude gain and phase error would lead to performance degradation of high-resolution parameter estimation algorithms; especially the phase errors will cause deviation of parameter estimation.
在消除回归模型误差项的自相关现象的处理中，提出了一种确定自相关参数估计值的新方法。
In this paper, a new process of estimating autocorrelation parameter is given when remedying autocorrelation of error term in regression model.
分析了反映P SN曲线统计精度的主要指标，提出了P S N曲线参数估计量的均方误差计算机模拟求法。
Main characteristics of statistical accuracy for P-S-N curves are analyzed and the method for mean square error of P-S-N curves parameters by computer simulation is brought forward.
本文讨论了参数估计和输出误差的收敛性，并给出了系统持续激励的一个充分条件。
This paper presents new development of parameter identification for MIMO discrete stochastic linear systems with random parameters based on the least squares method.
文中简要介绍了主要的参数估计算法，并详细分析了基于量测残差和参数误差间灵敏度关系的参数估计方法。
The method for parameters estimation based on the sensitivity relationship between the measurement residuals and parameter errors are discussed in detail.
该方法应用于催化裂化十集总动力学模型轻循环油反应网络动力学参数估计，降低了搜索算法对初值和实验误差的要求，保证了收敛稳定性。
The new method not only lowered the requirements to initial values, but also insured the convergence stability in using it to predict the parameters of the rate consta…
该方法应用于催化裂化十集总动力学模型轻循环油反应网络动力学参数估计，降低了搜索算法对初值和实验误差的要求，保证了收敛稳定性。
The new method not only lowered the requirements to initial values, but also insured the convergence stability in using it to predict the parameters of the rate consta…
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