The dynamic OD matrix estimation has been the problem that the scholars hope earnestly to resolve.
动态OD矩阵估计问题一直是学者们高度关注并渴望解决的问题。
Link flows are usually hypothesized as constant variables in the existing OD matrix estimation technology, which yields a low accuracy.
现有OD矩阵反推技术大都将路段流量确定为稳定不变的，导致反推精度不高。
To avoid sitting reference object on scene, the model of self-calibration based on fundamental matrix estimation and its implementation are proposed.
为避免测量过程中在现场设置标定参考点，研究了以基础矩阵估计为基础的交通事故摄影图像自标定模型，并分析了其实现过程。
A method of the mixing matrix estimation in underdetermined source separation is proposed, which is based on the linear clustering of sparse component.
利用稀疏分量的直线聚类性，提出了欠定盲源分离中估计混合矩阵的一种方法。
This paper proposes a new method based on mixing matrix estimation for underdetermined blind speech separation, aiming at speech signals under weak sparseness.
针对语音信号的弱稀疏性，提出一种新的基于混合矩阵估计的欠定语音盲分离方法。
Monte Carlo Stochastic Modeling Method is adopted to design vehicle turning behavior module, and a simulation model integrating link traffic flow and od matrix estimation is established.
采用蒙特卡罗法设计车辆转弯行为仿真模型，并提出了局域路网交通量与OD矩阵估计的集成仿真方法。
With the exponential increase in the size of the IP network and the urgent demands in network management and maintenance, traffic matrix estimation has currently become an interesting topic.
随着IP网络规模指数式增长而带来的对网络管理和维护的迫切需求，流量矩阵估计已成为当前的热点研究问题。
A modified ULV updating algorithm. is applied to performing noise subspace tracking. The algorithm does not require rank estimation of the correlation matrix, and estimate directly the noise subspace.
使用一种修改的ULV更新算法进行噪声子空间跟踪，该算法不需要相关矩阵的秩估计，直接估计噪声子空间。
For the estimation of satellite state, the extended sequential estimation algorithm was applied. The numerical method was used to integrate state vector and error covariance matrix.
在卫星的状态估计过程中应用推广的序列估计算法，借助数值积分方法积分状态向量和协方差矩阵。
Based on real-time estimation of noise matrix and grey clustering of state variable, filter or gain matrix is modulated so as to get an estimation of the state vector.
实时估计出系统噪声方差矩阵和量测噪声方差矩阵，对状态变量进行灰色聚类，并对滤波矩阵和增益矩阵进行实时自适应调整，计算出状态向量的递推估计值。
The matrix decomposition method for DOA estimation is analyzed. It is proved that the method is a subspace method.
本文对用于DOA估计的矩阵分解法进行了分析，证明了它是一种子空间方法。
The direct form for the recursive least squares estimation via matrix QR decomposition with one step data updated is given .
给出了当数据一步更新时，利用矩阵QR分解进行最小二乘估计的直接递推形式。
New method of parameter estimation for time varying non linear distributed systems is proposed in term of orthogonality of orthogonal polynomial and differential operation matrix.
利用正交多项式序列的正交性及微分算子矩阵，论述了时变非线性分布参数系统参数估计的正交多项式法。
Compared with the existing algorithm, the improved algorithm fully utilizes the inherent structure of cumulant matrix of the output signals and improves its performance of estimation.
和原算法相比，改进算法充分利用了输出信号的累积量矩阵固有结构，从而提高了算法的估计性能。
For this special multisensor system, distributed optimal fusion algorithm is received by avoiding computing correlated estimation covariance based on the matrix operation.
在这类特殊的多传感器系统中，本文通过矩阵运算消除相关估计方差，得到了最优分布式融合估计算法。
With bad matrix condition number, the proposed algorithm can also be used for the spectral estimation.
同时，在信号自相关矩阵条件数不好时，该算法仍然可以进行信号的谱估计。
A new observability analysis algorithm for power system state estimation based on reduced network Jacobian matrix is proposed.
提出了一种新的基于降阶网络雅可比矩阵的电力系统状态估计可观测性分析方法。
There are two forms of extended sequential estimation algorithm: 1. integrating error covariance matrix; 2. integrating state transition matrix.
推广的序贯估算法有两种形式：1。积分误差协方差矩阵，2。积分状态转移矩阵。
Based on the robust estimation in the state-space and the adaptive modification of prediction covariance matrix, a new algorithm was proposed to track Thevenin equivalent parameters.
融合预报协方差矩阵的自适应调整和状态空间鲁棒性估计，给出辨识戴维南等值参数的新算法。
The methods of estimation of non-recurring cost and recurring cost of a satellite, analysis of cost present value and application of cost matrix are emphasized.
文中着重介绍卫星的研制费与产品费的估算方法、费用的现值分析和费用矩阵的应用。
The estimated spatial signature is adopted to construct the covariance matrix for high resolution DOA estimation.
利用了估计出的用户空间特征构造协方差矩阵进行空间平滑的高分辨DOA估计。
A new method for human face image scale and direction estimation is proposed using covariance matrix eigenvalue and eigenvector of edge set, which is proved by theory and experiments.
提出了利用边缘点集的协方差矩阵的特征值与特征矢量作为人脸图像尺度与方向的粗估计方法，从理论和实验上证明了该方法的可行性。
It presents a new method of DOA estimation in time-frequency domain, via establishing the STFD matrix and combining the traditional methods of array.
通过构建空间时频分布矩阵，和传统的阵列信号处理方法相结合，从而得到一种新的时频域的波达方向估计方法。
MUSIC (MUltiple SIgnal Characterization) is a special spectral estimation method based on the eigen decomposition of the sample covariance matrix.
多重信号分类(MUSIC)算法是通过对数据协方差矩阵进行本征分解获得信号空间谱估计的方法。
Based on the estimation of the unit solution matrixes of differential equations, the unique steady state of the dynamic circuits with nonlinear resistors is studied by matrix measure.
本文利用微分方程单位解矩阵估计的相关方法，得到了确定含有非线性电阻的动态电路唯一稳态的条件。
The new estimation about lower bounds for singular value of matrix was presented, and the error in previous results were revised.
给出了矩阵奇异值下界的新估计，修正了以往结果的失误。
The GPS integer ambiguity estimates, the navigation parameter estimates and their variance-covariance matrix are derived by using Markovian estimation.
利用马尔柯夫估计，推导了GPS整周模糊度估计矢量和导航定位参数估计矢量的表达式，以及相应的协方差矩阵；
This paper introduces a typical SNR estimation algorithm by the use of autocorrelation matrix singular value decomposition method.
主要介绍了一种典型的信噪比估计算法，并对信噪比的自相关矩阵奇异值分解估计法进行了研究。
This paper introduces a typical SNR estimation algorithm by the use of autocorrelation matrix singular value decomposition method.
主要介绍了一种典型的信噪比估计算法，并对信噪比的自相关矩阵奇异值分解估计法进行了研究。
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