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05040031
- 文件包含有5项内容： 一、扩展卡尔曼滤波EKF 二、去偏转换卡尔曼滤波CMKF 三、最小二乘拟和的方法 四、最小二乘、EKF、CMKF的比较 五、野值剔除算法 用MATLAB实现了这些具体算法和要求 -document contains five elements : an extended Kalman Filter EKF two, Partial conversion to CMKF three Kalman filtering, and the least s
RLS_Adaptive
- 该递推最小二乘算法的程序实现了自适应横向滤波的功能，基本满足一般滤波要求-recursive least squares algorithm for the realization of the horizontal adaptive filtering function normally meet basic filtering requirements
matlab simulation 卡尔曼滤波算法
- 卡尔曼滤波算法的仿真、最小二乘参数估计、整个电池管理系统的simulink仿真-Kalman filter algorithm simulation, least-squares parameter estimation, the whole of the battery management system simulink simulation
Wiener-filter-
- 逆滤波与维纳滤波和约束最小二乘滤波复原,有助于初学者-Inverse filter and Wiener filter and constrained least squares filtering for restoration to help beginners
phase
- hilditch.m是hilditch细化算法。 RC_unwrap.m是逐行逐列去包裹算法。 least_unwrap.m是最小二乘去包裹算法。 FTP.m是利用傅里叶变换提取相位。 sincosfilter.m是正余弦滤波算法。 以上算法在相位图的相关计算中常用到，比如电子散斑干涉、全息干涉、相移技术等。-hilditch.m is hilditch refinement algorithm. RC_unwrap.m is listed line by line u
yunsuyuanzhou
- 目标作匀速圆周运动，包括kalman和最小二乘滤波，亲自调试通过的，可出x，y，误差-Target for uniform circular motion, including the least squares filtering kalman and personally through debugging, and can be the x, y, error
adapt_lms
- 利用matlab编写的自适应最小二乘滤波程序-Matlab prepared using least squares adaptive filtering procedure
RegrToolbox
- 基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。-Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modelin
LSL
- LSL最小二乘方格型算法的自适应滤波程序及其应用-LSL least-squares grid-based algorithm for adaptive filtering procedures and its application
LS
- 本程序给出了最小二乘滤波算法的具体编程，程序中分析比较了自相关算法、协方差算法、前后向加窗算法的滤波效果-This procedure gives the least squares filtering algorithm specific programming, program analysis and comparison of the auto-correlation algorithm, covariance method, before and after windowing alg
shexingjidong
- 目标作蛇形机动matlab仿真，包括卡尔曼和最小二乘滤波，可出x，y方向误差，-Matlab simulation target for maneuver, including the Kalman and least square filtering, the x, y direction of error,
LMS_noise
- 自适应抵消法程序，最小二乘法（LMS）自适应滤波器，噪声抵消-Adaptive canceling procedures, least square method (LMS) adaptive filter, noise cancellation
image_deconvreg
- 对图像进行约束最小二乘滤波复原，并调用edgetaper函数,减弱噪声放大效应和振铃现象-image restoration deconvreg
book
- 这是一本研究目标定位跟踪的学习手册（在雷达，声纳，无线传感器网络领域等），采用的方法有最小二乘/极大似然，卡尔曼滤波，蒙特卡洛，粒子滤波等方法，更是很多读者需要的是里面有大量的仿真实例和程序代码，并配以中文注释，读者可以结合书中的原理和公式，对程序有进一步的理解。也适合很多读者在已有的代码的基础上对算法进行改进。-This is a study targeting the learning manual tracking (radar, sonar, wireless sensor networ
zishiyinglvbo
- 摘要:分析了最小均方误差滤波和递归最小二乘滤波算法、自适应滤波的神经网络方法、 基于QR分解的方法、统一模型下的自适应滤波及基于高阶累积量的自适应算法的优缺点，并对自适应滤波算法的未来发展做了展望。 -the author analyzes the minimum mean square error filter and recursive least square filter algorithm, an adaptive filter neural network method,
图像复原
- 运动模糊图像的逆滤波复原、维纳滤波复原和约束最小二乘滤波复原
M_rls
- 该程序是一种最小二乘滤波算法的matlab实现程序，主要应用于非平稳信号的干扰抑制中-The program is a least squares filtering algorithm matlab implementation program, mainly used in non-stationary signal interference suppression in
filter
- 能够实现对三维点云数据的中值滤波、均值滤波、以及最小二乘滤波-Able to achieve a three-dimensional point cloud data, median filtering, mean filtering, and least squares filtering
最小二乘拟合，kf
- 包括两个简单卡尔曼滤波例子和一个最小二乘法例程(Filtering and least squares)
目标定位
- 研究目标跟踪的状态估计方法，最小二乘估计，Kalman滤波，扩展Kalman滤波，无迹Kalman滤波以及粒子滤波等，理论及MATLAB源程序。(The state estimation methods of target tracking, least square estimation, Kalman filtering, extended Kalman filtering, unscented Kalman filtering and particle filtering, theory