维纳滤波算法程序

基于matlab的LMS和RLS的自适应滤波器的应用仿真，希望对大家有帮助。(Matlab based on the LMS and RLS adaptive filters using simulation, we want to help.)

感应电机终端滑模矢量控制系统,simulink仿真实验程序。(Induction motor vector control system of the terminal sliding mode)

扩展Kalman滤波在纯方位目标跟踪中的应用实例 详细原理介绍及中文注释请参考wiki百科。(A Calman filter to estimate the path of the Matlab example. It is suitable for beginners reference)

主要包括基于自调节圆周覆盖源程序和不同条件下的仿真对比图，其中self_nodecover.m是自调节圆周覆盖算法的源代码；iscover.m是自调节圆周覆盖算法的子函数，是用来判断是否全覆盖的函数，适当修改其参数可应用到其它领域！

Relief计算分类权重，Pisarenko谐波分解算法,已经调试成功.内含m文件，可直接运行，关于小波的matlab复合分析，粒子图像分割及匹配均为自行编制的子例程，采用的是通用的平面波展开法。

文件包含了3个文件文本，及数据，读取导航电文，读取O文件,利用导航电文计算卫星坐标，并的保存到dat文本中

Bursa_Wolf，布尔莎坐标转换，matlab实例，平差，最小二乘求解,三次拟合 个人整理的，最齐全的Bursa_Wolf，布尔莎坐标转换资料，含matlab实例，平差，最小二乘，三次拟合，精度更高，以及相应的引文资料。请注明引用出处！

一个matlab程序，有关已知方差的高斯分布的均值贝叶斯学习方法。详见程序内说明。(a Matlab procedures, the known variance of the Gaussian distribution of the mean Bayesian learning methods. See Note procedures.)

四分量风速模型，风电系统仿真部分，为风力机提供原动力(Four-component wind model, the wind power system simulation part, to provide impetus for the wind turbine)

image inpainting (CS7495 Final Project Sooraj Bhat Object Removal by Exemplar-based Inpainting USING THE CODE Everything was done in Matlab and MEX (i.e. a C function callable from Matlab). First, the C code needs to be compiled. At the Matlab prompt, type: mex bestexemplarhelper.c You should then be able to run the following (which takes ~2mins on my 2GHz Pentium 4 laptop with 256MB of RAM): [i1,i2,i3,c,d,mov] = inpaint( bungee0.png , bungee1.png ,[0 255 0]) A smaller run (~25 seconds) would be: [i1,i2,i3,c,d,mov] = inpaint( bw0.png , bw2.png ,[0 255 0]) To visualize: plotall close movie(mov) SAMPLE IMAGES & RESULTS *0.png The original images ( bw and bungee ) *{1,2}.png The different fill region masks. *P2.png Plots of confidence and data terms. *P5.png Plots of original, fill region, inpainted images and confidence and data terms. Other images in the dir contain redundant information. I di)