crmapping-and-crdemapping

用PF和EKF实现了多径参数估计,有很详细的程序说明(Multipath estimation is programed using PF and EKF in matlab. The explanation is detailed )

说明：  基于matlab进行图像的滤波，轮廓提取和角度计算的综合程序，经调试可以正常运行(Matlab for image-based filtering, contour and angle of the Composite process, the debugger can operate normally)

由于libsvm的matlab版本的工具箱libsvm-mat并没有给出寻参的函数模块，而无论利用libsvm工具箱进行分类还是回归，参数的选取是十分重要的，鉴于此libsvm-mat-2.89-3[FarutoUltimate3.0]在 libsvm-mat-2.89-3的基础上给出相应的辅助函数插件，方便用户来选取最佳的参数，现对该工具箱里主要的辅助函数插件的接口进行介绍。(As the matlab version of the toolbox libsvm libsvm-mat and did not give to find a function module parameters, regardless of classification using libsvm toolbox or regression, parameter selection is very important, in view of the libsvm-mat-2.89-3 [ FarutoUltimate3.0] in libsvm-mat-2.89-3 is given on the basis of the corresponding auxiliary function plugin user to select the best parameters, the toolbox is the main interface to plug the auxiliary functions are introduced.)

对传统LMS算法的改进，它的步长是变化的，这样更能自适应地调整权值，因而性能比一般的LMS算法更优！(It is the improving Traditional LMS algorithm and its step size is changing every time, so it can better adapt to adjust the weights, thus the performance of this algorithm is better than the previous LMS algorithm !)

基于MATLAB6.5的二维灰度图像处理源文件，M-file，运用傅里叶变换和傅里叶反变换进行幅度和频率的调整。(Based on two-dimensional gray-scale image processing MATLAB6.5 source files, M-file, the use of anti-Fourier transform and Fourier transform amplitude and frequency adjustments.)

立体图像校准的matlab程序算法讲解。可以直接下载源码(A compact algorithm for rectification of stereo pairs)

MATLAB中svm入门ppt介绍及程序实例介绍(Getting Started with MATLAB, and procedures of example to illustrate svm)

本程序实现对随机信号的8PSK调制，程序里面有详细注释，很容易换成想要信号的8PSK调制，欢迎下载。(This program implements the random signal 8PSK modulation, which has detailed program notes, easily replaced want 8PSK modulation signal, welcome to download.)

MVDR算法基于matlab的实现，经过测试可以运行(The realization of MVDR algorithm based on matlab)

图像处理中常用的算法，均方根误差和峰值信噪比的matlab代码(Image processing algorithms commonly used, the root mean square error and peak signal to noise ratio of the matlab code)