The Application of Optimal Step Length Factor Method in Power System State Estimation Algorithm 最优步长因子法在电力系统状态估计算法中的应用
Optimal estimation algorithm for real-time welding deviation based on Kalman filtering 基于卡尔曼滤波的焊缝偏差实时最优估计
The Optimal Attitude Estimation Algorithm for a Minimal SINS 一种微捷联惯导系统姿态角最优估计算法研究
As to obtain the precise optimal trajectory of the surface-to-air missile rapidly, a co-states estimation optimization algorithm was developed based on the Legendre pseudospectral method. 为了快速精确地得到防空导弹中段最优弹道,在拟勒让德谱变换法的基础上提出了协态估计优化算法。
Distribution Network Optimal Planning Based on Algorithm of Partheno-genetic Algorithm and Estimation of Distribution Algorithm 基于分布估计&单亲遗传算法的配电网规划
In addition, along with the rapid development of the computer technology, the highly complicated data processing has become possible. Stability problem and multi-sensor information fusion for the optimal estimation algorithm of the Systems with Multiplicative Noises become the people's extensive concern in numerous realms. 另外随着计算机技术的飞速发展,高度复杂的数据处理已成为可能,带乘性噪声系统的最优估计算法的稳定性问题及多传感器信息融合问题在众多领域受到了人们的广泛关注。
A novel optimal attitude and attitude-rate estimation algorithm is proposed to address the problem of autonomous attitude determination using gravitational filed and geomagnetic field observation. 针对利用地球重力场和磁场矢量观测进行自主姿态测量的应用问题,提出了一种新的最优递推估计算法。
Optimal Estimation of Three Parameters Weibull Distribution Based on Genetic Algorithm with Constrains 含约束条件遗传算法在三参数威布尔分布参数估计中的应用
To overcome the local optimal problem existing in some maximum likelihood DOA estimation algorithms, improve the estimation accuracy, a global optimal solution of nonlinear maximum likelihood DOA estimation is obtained by real-valued genetic algorithm proposed in this paper. 为克服一些获取波达方向估计最大似然解算法存在的局部极值问题,提高估计精度,本文以作者提出的实数遗传算法为搜索工具,寻求波达方向最大似然估计的非线性全局最优解。
A New Optimal Estimation Algorithm of Dynamic Multiscale System 一种新的动态多尺度系统最优估计算法
In this paper, a sequential optimal estimation algorithm based on Haar wavelet for dynamic multiscale system is presented. The proposed method is real-time, and its computational complexity is low. It is a new method tor multisensor information fusion. 给出了一类动态多尺度系统基于Haar小波的序贯式最优估计算法,该算法具有较低的计算复杂度和较高的实时性,为多传感器信息融合提供了一种新的方法。
Study on Optimal Estimation Algorithm for Autonomous Attitude Determination 自主姿态测量最优算法研究
Based on Gibbs-Markov random field model and the Gamma distribution property of SAR image's speckle noise, global optimal pseudo likelihood estimation of radar cross-section can be achieved with simulated annealing algorithm. 根据吉布斯马尔可夫随机场模型和SAR图像斑点噪声的伽玛分布统计特性,应用模拟退火算法,实现雷达截面的全局优化伪似然估计。
A Sub-optimal Channel Estimation Algorithm for Practical OFDM Systems 一种用于实际OFDM系统的次优信道估计算法
Optimal Design Of Artificial Neural Network Based On Estimation Of Distribution Algorithm 基于分布估计算法的人工神经网络优化设计
The optimal estimation algorithm of measurement noise and the optimal state fusion algorithm for multi-channel system with multiplicative noises are mainly researched in this dissertation. 本文主要针对多通道带乘性噪声系统的观测噪声最优估计算法和状态最优融合估计算法展开进一步研究。
Based on the theory of the optimal estimation, this paper proposes a multi-sensors decentralized algorithm to solve the parameter estimation problems in noise environment. 本文基于最优估计理论,提出了一种多传感器分散估计融合算法,以解决测量噪声干扰下参数估计问题。
The method respectively use the optimal state estimation algorithm of Kalman Filter ( KF) and Least Mean Square ( LMS) to estimate the signal in linear part to refresh the parameters of the model. 在此基础上分别结合卡尔曼滤波算法和最小均方差算法进行线性部分的信号估计,其中卡尔曼滤波和最小均方差算法都是最优状态估计方法,用于在线更新预测模型的参数。
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。
Based on the filtering and smoothing algorithm, the optimal fixed interval deconvolution estimation algorithm is developed. 第三,在滤波和平滑算法的基础上推导出了最优固定域反褶积算法。
Viterbi algorithm is a maximum_likehood algorithm for convolutional codes, its complexity will increases exponentially with the constraint_length, and it is also an optimal state estimation algorithm for the finite state process. Viterbi算法是用于卷积码译码的一种最大似然译码算法,其复杂性随约束长度的增加而成指数增长,同时它还是估计有限状态过程中的状态序列的一种最优算法。
In nonlinear system state bounding estimation, an extended optimal bounding ellipsoid ( EOBE) state estimation algorithm is presented. 接着研究了非线性系统下状态定界估计,提出了扩展最优定界椭球状态估计算法。
Besides, a unified information fusion model is set up with the optimal solution given. Then, the robust estimation fusion algorithm for systems with uncertainties is presented. 2. 然后,基于统一的信息融合模型及其最优解,给出了系统含有不确定项时的鲁棒融合估计算法,基此对鲁棒滤波器的估计性能进行对比分析。
The properties of error covariance for optimal multiscale estimation algorithm, and the stability and asymptotic behavior of the error dynamics and Riccati equation are analyzed. 分析了最优多尺度估计算法的误差协方差特性,研究了误差的动态方程和黎卡提方程的稳定性和渐近稳定性。
In the case of the accurate system model and noise boundary, Fogel and Huang proposed the optimal bounded ellipsoid set-membership estimation. This algorithm is set to become a member of an important branch of state estimation theory. 在确定模型和噪声边界的情况下,Fogel和Huang提出了基于最优外定界椭球的集员估计方法,成为了集员估计理论的一个重要分支。
On one hand, the optimal set membership state estimation algorithm by ellipsoids for linear systems is improved, and two numerically stable suboptimal algorithms are proposed. 一方面,对线性系统最优椭球集员滤波算法进行了改进,给出了两种数值稳定性比较好的次优算法。
The proposed algorithm first chooses the best coding mode in terms of the video content, and then predicts the optimal rate using transform domain correlation estimation model. Finally, the proposed algorithm is integrated into the FFTD-DVC system. 在进行码率分配时,首先根据视频内容选择最优的编码模式,接着利用变换域相关性预测模型来估计所需的最优码率,并集成到无反馈变换域分布式视频编码系统中。
In recent years, the optimal estimation algorithm in the linear minimum variance criterion has been extended to the estimation problem for singular systems with multiplicative noise by some scholars to enrich and develop the estimation theory for singular systems. 近几年来,一些学者把广义系统的研究推广至带乘性噪声情形,在线性最小方差准则下,给出了这类系统的最优估计算法,丰富和发展了广义系统的估计理论。
In this paper, modeling and forecasting of time series and optimal estimation algorithm are discussed, the optimal estimation method and its improved algorithms are applied to time series forecasting. 本文对时间序列建模与预测和最优估计算法进行研究,将最优估计方法及其改进算法应用于时间序列预测领域,通过最优估计思想优化其时间序列模型参数,达到提高时间序列预测精度的目的。
Besides, with analyzing the nonlinear system state bounding estimation, an extended optimal bounding ellipsoid state estimation algorithm is presented is gained, Just like the EKF, the algorithm linearizes the system state equations. 另外,研究了非线性系统下的状态定界估计问题,得到了最优扩展椭球集员估计算法,此算法同扩展卡尔曼滤波算法一样对系统状态方程进行了线性化处理。