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Kalman_filter
- 这是最基本的卡尔曼滤波器的实施。卡尔曼滤波器的测量位置，速度和加速度，估计真实的资料中的。这个例子使用的Scilab。-This is the most basic implementation of a Kalman filter.For measured position, velocity and acceleration, the Kalman filter estimates the true datas.This example works with Scilab.
kalman
- 卡尔曼滤波器matlab仿真程序，已知测试的随机信号用卡尔曼滤波器，估计原始信号。-kalman filter
p212
- 卡尔曼滤波器对沿直线运动的机器人的运动轨迹进行估计。画出轨迹估计曲线和实际运动曲线-Kalman filter to estimate the trajectory of the robot along the linear motion. Draw the trajectory estimated curve and the actual motion curve
p213
- 卡尔曼滤波器估计机器人运动轨迹，使用激光和超声波进行观察。画出估计轨迹图和实际轨迹图。-Kalman filter estimated the robot trajectory, the use of laser and ultrasonic observation. Draw the estimated trajectories and actual trajectories.
p222
- 卡尔曼滤波器完成多传感器融合算法，不同机器人的不同传感器对足球位置进行估计，融合不同传感器数据得到精确估计-Kalman filter to complete the multi-sensor fusion algorithm, the different sensors of the robot football position estimates, the integration of different sensor data accurate estimate of
p223
- 卡尔曼滤波器完成多传感器数据融合。对多个机器人的不同传感器数据进行融合估计足球精确位置。-Kalman filter to complete the multi-sensor data fusion. Multiple robots of different sensor data fusion estimation football precise location.
lmekf
- 经典的扩展卡尔曼滤波卡尔曼滤波程序，首先对非线性函数取一阶近似，生成近似的新型函数，然后进行卡尔曼滤波，通过一步状态和估协方差估计产生新息，然后生成状态预测-Classical extended Kalman filter, Kalman filter procedure, first take the first order approximation of nonlinear function to generate the new function approximation, and t
Kalman_matlab
- 卡尔曼滤波方法用于估计物体运动参数，卡尔曼滤波在运动目标跟踪问题中。超级推荐，绝对可以运行，随机模拟运动估计，效果非常不错，是个老外写的。-Kalman filtering method used to estimate the object motion parameters, the Kalman filter in moving object tracking problem. Super recommended, can definitely run, the stochastic si
object-tracking
- 对视频作目标检测跟踪的VC++程序，使用了openCV开源库，包含帧差法、背景估计法、高斯混合模型法以及卡尔曼滤波。可正常运行。-VC++ program for target tracking,based on openCV, incuding multiple algrithms,such as Karlman filter.
kalm_monte-carlo_simulation
- 两种噪声下，卡尔曼滤波的100次Monte Carlo仿真验证，画出了每时刻卡尔曼预测均方根误差和估计均方根误差的Monte Carlo变化曲线-with uniform and Gaussian noise respectively,through 100 Monte Carlo simulations,output thecurves of sampled state prediction variances and estimate variances of kalman filter i
Kalman
- 数字信号处理2上第61页的上机作业第一道问题，用卡尔曼滤波（Kalman）由测量数据来估计信号波形-Kalman filter is used to estimation real signal.
INS-matlab
- 利用卡尔曼滤波算法估计惯导系统状态量的源代码~谢谢分享-Source code using the Kalman filter algorithm to estimate the state variables of the Inertial Navigation System ~ Thank you to share
UPF
- 把无迹卡尔曼滤波应用在惯性导航系统的处理中~用于估计状态变量误差~-Unscented Kalman filter applications in the treatment of the inertial navigation system- used to estimate the state variable error ~~
2010041245
- 上传一个word档的联邦式扩展卡尔曼粒子滤波算法，大家学习粒子滤波有益，为了使联邦滤波器够有效处理非高斯、非线性系统的状态估计问题，提出将扩展卡尔曼粒子滤波引入联邦滤波结构中，得到一种新的联邦式扩展卡尔曼粒子滤波算法.使用扩展卡尔曼粒子滤波对联邦滤波子系统的多源数据进行处理，从而摆脱了经典卡尔曼滤波的限制，拓宽了联邦滤波器的实际应用范围.将联邦式扩展卡尔曼粒子滤波算法应用于非线性滤波器的一个标准验证模型进行了仿真实验，结果表明该算法是有效性的.-Abstract: A new particle
kalman_filter
- 用卡尔曼滤波算法估计一个四阶线性预测模型的最优权值，并附有仿真图形-Kalman filter algorithm to estimate the optimum weights of a fourth-order linear prediction model with simulation graphics
IMM1
- 基于卡尔曼滤波器的交互多模估计器，含有两个模型，跟踪误差计算完成-Interactive multi-mode estimator based on the Kalman filter contains two model tracking error calculation is complete
kalman
- matlab的一个卡尔曼滤波的例子，包括估计预测和方差分析-an example of kalman in matlab
kalman
- 实现卡尔曼滤波算法，可以进行参数估计、插值、滤波和预报-The Kalman filter algorithm, parameter estimation, interpolation, filtering and prediction
872661heat-transkalman
- 卡尔曼滤波从与被提取信号有关的量测量中通过算法估计出所需信号。卡尔曼滤波处理有几个特点：(1)卡尔曼滤波处理的对象是随机信号；(2)被处理信号无有用和干扰之分，滤波的目的是要估计出所有被处理信号；确切的说卡尔曼滤波应称作最优估计理论；就实现形式而言，卡尔曼滤波器实质上是一套由数字计算机实现的递推算法。量测量可看作卡尔曼滤波器的输入，估计值可看作输出-Kalman filtering from the measurement of the quantity relating to the sign
multiScale_KalmanFilter
- 用多尺度卡尔曼滤波法，对信号参数进行识别估计。高频信号和低频信号识别结合起来改进了算法识别的精确度和准确度。-It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. The model parameters are estimated by expectation maximization (EM) algorithm. In this impleme