说明：卡尔曼滤波器 2.2 由因果IIR维纳滤波器看卡尔曼滤波器 2.3 从bayes滤波角度看卡尔曼滤波器 2.4 卡尔曼滤波器的扩展

说明：卡尔曼滤波源代码 Some brief notes ---------------- kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis. Steve Roberts 7-2-98

说明：Use Kalman Filter 机器人跟踪

说明：matlab 实现　kalman filter

说明：matlab实现的粒子滤波器源代码，多若干实例并有与Kalman滤波器性能的比较

说明：基于卡尔曼滤波器的物体追踪算法，很好用的，而且效率也很高

说明：Introduction to Estimation and the Kalman Filter (KC-1) Extended Kalman Filter Navigation System Example

说明：Kalman滤波器经典入门matlab程序

说明：IMM_Kalman_Filter.m IMM_Kalman_Filter程序

说明：Extended Kalman Filter for nonlinear dynamic systems

说明：introduce the kalman filter

说明：扩展卡尔曼滤波源代码 希望能够对学习Kalman技术的朋友有所帮助

说明：matlab的卡尔曼滤波预测算法例子，希望对大家有帮助

说明：本压缩文件包含GPS量测数据仿真和惯性导航解算以及卡尔曼滤波在导航解算中的应用

说明：卫星姿态确定及敏感器误差修正的滤波算法研究。介绍了几种不同的滤波算法，如卡尔曼滤波，扩展卡尔曼滤波，粒子滤波等在姿态确定上的应用，并比较了它们仿真的结果

说明：介绍了几个基于EKF扩展卡尔曼滤波的例子，可以帮助更好的理解扩展卡尔曼滤波

说明：GPS单点定位的滤波程序，可以获得速度信息和位置信息，速度信息可以达到cm/s

说明：动态时间序列分析工具包.包括有ARMA,harmonic model,kalman filter等方法

说明：自适应滤波器设计的matlab源程序，包括LMS,RLS,Kalman滤波等

说明：ekf扩展卡尔曼滤波,效果比较好extended kalman filter

说明：matlabBank-Based Kalman Filtering Technique for] - A Filter-Bank-Based Kalman Filtering Technique for Wavelet Estimation and Decomposition of Random Signals.pdf [DIP_dg.rar] - JPEG图像压缩像素之扫描方法之一（zigzag scan）这是用的循环法 [imagethreshold.zip] - 老外编写的阈值分割代码,非常的好,强烈推荐下载 [contour.rar] - 利用OpenCV进行轮廓提取，很好用！对于初学openCv的人来说是个很好的入门例程 [lu.rar] - 路径识别

说明：优于Kalman滤波的粒子滤波在目标跟踪中的应用，幻灯片

说明：些程序是一个雷达跟踪一目标的仿真图形,可实现kalman滤波的估计轨迹与真实轨迹的误差,并分别可绘出X,Y方向的跟踪误差,对初学都来说,是一个非常好的学习例子

说明：卡尔曼滤波的小程序，是理解卡尔曼滤波的一个很好的例子。

说明：kalman filtering 经典书籍 值得一看

说明：目标跟踪，程序利用卡尔曼滤波器实现了对机动目标的跟踪。效果较好的运动模型。

说明： ％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％ ％ 1) Extended Kalman Filter (EKF) ％ 2) Unscented Kalman Filter (UKF) ％ 3) Particle Filter (PF) ％ 4) PF with EKF proposal (PFEKF) ％ 5) PF with UKF proposal (PFUKF)

说明：Kalman Filtering Theory and Practice, Using MATLAB

说明：Carrier-phase synchronization can be approached in a general manner by estimating the multiplicative distortion (MD) to which a baseband received signal in an RF or coherent optical transmission system is subjected. This paper presents a unified modeling and estimation of the MD in finite-alphabet digital communication systems. A simple form of MD is the camer phase exp GO) which has to be estimated and compensated for in a coherent receiver. A more general case with fading must, however, allow for amplitude as well as phase variations of the MD. We assume a state-variable model for the MD and generally obtain a nonlinear estimation problem with additional randomly-varying system parameters such as received signal power, frequency offset, and Doppler spread. An extended Kalman filter is then applied as a near-optimal solution to the adaptive MD and channel parameter estimation problem. Examples are given to show the use and some advantages of this scheme.