The paper gives an iterative method of linear prediction spectral estimation.
本文给出线性预测谱估计一种迭代方法。
Using the model Identification and Parameter Estimation, the linear model is turns out to be accurate.
并通过模型识别与参数估计，得到线性模型的准确形式。
Based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
The signal estimation precision of the linear model is an important index in applied project.
线性模型的信号估计精度是工程应用上非常重要的指标。
The error estimation of rational cubic spline with linear denominators is given, and then the interpolation of a kind of space closed curves under cylindrical coordinate system is investigated.
给出了具有线性分母的有理三次样条函数的误差估计，并在柱面坐标系下对一类空间闭曲线的插值问题进行了研究；
The parameter estimation method is multiple linear regression analysis.
参数估计法采用多元线性回归分析法。
In this paper, the problem of parameters estimation in linear functional relationship model with "error in some variables" is discussed.
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。
Multi-sensor information fusion state estimation problem for descriptor discrete-time stochastic linear systems is studied.
研究了广义离散随机线性系统的多传感器信息融合状态估计问题。
State estimation of singular discrete-time linear systems is discussed.
讨论了线性离散奇异系统的状态估计问题。
Accuracy estimation is an important part in linear parameter processing, and cumulative-sum method is a new method for linear parameter processing.
精度估计是线性参数处理中重要的一部分，而累积法是进行线性参数处理的一种新方法。
The problem of multi-sensor information fusion state estimation for descriptor discrete-time stochastic linear systems is considered.
考虑了广义离散随机线性系统的多传感器信息融合状态估计问题。
Based on the first order eigenvalue sensitiveness analysis and linear estimation, this paper further suggests a second order eigenvalue sensitiveness analysis method.
本文在一阶灵敏度分析及线性估算的基础上，进一步提出二阶灵敏度方法。
In this paper, based on output residuals, an efficient adaptive state estimation approach is presented for linear time-invariant discrete system.
本文针对线性定常离散系统提出了一种有效的基于输出残差的自适应状态估计方法。
Tendency of annual precipitation in Heihe filed is studied by using linear tendency estimation.
采用线性倾向估计研究黑河流域年降水的变化趋势。
The paper raises and proves an essential condition of volumetric property of nonnegative secondary estimation of deviation and variance in linear model.
文中给出并证明了在椭球约束条件下线性模型中，误差方差的非负二次估计的可容许性问题的一个必要条件。
To solve the problem of the ill-condition in locating and tracking a moving source using passive measurements, a new method based on linear estimation is presented in this paper, the.
本文针对无源声纳对运动声源的被动定位跟踪中的病态问题，提出一种基于线性估计、可减轻病态的新方法。
This paper is to study the linear minimum variance estimation for discrete-time systems with instantaneous and two time delayed measurements.
本文研究具有即时观测和两个延迟观测系统的线性最小均方差估计。
In the sense of linear unbiased minimum variance estimation, a global optimal recursive state estimation algorithm for this discretized linear system is proposed.
在线性无偏最小方差估计准则下，推导出了该离散化后所得系统的全局最优递推状态估计算法。
In this paper we investigated optimal linear unbiased estimation of the linear estimable function in general multivariate random effect linear model.
本文研究了一般的随机效应多元线性模型中线性可估函数的最优线性无偏估计。
A new arithmetic approach to the target identification of lidar range image was introduced by using the least squares estimation and linear glide updater for the design of a filter.
针对激光雷达一维距离像的目标识别，提出了利用最小二乘估计器和线性滑动更新器构造滤波器的算法。
The linear unbiased minimum variance estimate and the optimally weighted least squares estimate are two of the most popular estimation methods for a linear model.
线性无偏最小方差估计与最优加权最小二乘估计是线性模型下两种最常用的估计方法。
The problem of robust state estimation for continuous-time singular linear systems with un-certain noise is considered. A kind of practical algorithm of optimum recurrence estimation is obtained.
本文讨论了一类具有不确定噪声的连续广义线性系统的鲁棒状态估计问题，文章提供了一种比较实用的状态估计方法。
Aiming at the problem of measurement conversion within the target tracking, a new algorithm combined best linear unbiased estimation with interacting multiple model methods is derived.
针对机动目标跟踪中常见的量测转换问题，提出了一种基于球坐标系下最优线性无偏估计滤波的交互多模型算法。
The uniformity of electron beam scanning is one of the important indices of linear accelerator. Unbiased estimation is an effective method for scanning uniformity calibration.
电子束扫描均匀度是辐照电子直线加速器的重要指标之一，采用无偏估计方法对电子束的扫描均匀度作校正是一种有效的方法。
This paper considers the estimation in the linear regression model under the criterion of minimizing the sum of absolute errors.
本文考虑在绝对误差和最小准则下的线性回归模型估计。
However, because of the strong non-linear feature of the pressure distribution in an U-bend duct, the estimation ability will change if there are not enough samples to the trained networks.
但是由于U型通道内压力分布的强烈非线性特性，当实验数据较少时，这种预测能力将显著下降，甚至完全丧失。
This paper presents a new hybrid algorithm based on both model reduction and linear model estimation for searching optimal number and locations of sensors for building structural health monitoring.
提出了一种基于模型减缩和线性模型估计理论的、用于建筑结构健康监测中传感器布置的新算法。
Assuming white noise reflectivity and minimum phase wavelet, the estimation of them simultaneously by linear inversion algorithm is studied.
在反射系数白噪、子波最小相位的假设下，研究基于线性反演的地震反射系数和子波同时估计问题。
The estimation of this class of the distributed group can be done by the unbiased estimation, uniformly minimum variance estimation and the optimal linear unbiased estimation.
这一类分布族的参数估计可用无偏估计，一致最小方差无偏估计和最优线性无偏估计。
The estimation of this class of the distributed group can be done by the unbiased estimation, uniformly minimum variance estimation and the optimal linear unbiased estimation.
这一类分布族的参数估计可用无偏估计，一致最小方差无偏估计和最优线性无偏估计。
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