User-Library-SWT-39

说明：  扩展卡尔曼滤波器程序，只需改相关参数即可(Extended Kalman filter process)

Blind channel estimation equalization adpative CMA method (Blind channel estimation equalization ad CMA method pative)

Matlab与数值分析实验：一本比较好的MATLAB书籍，适合于初学者(Matlab and numerical analysis of experiments: a good MATLAB books for beginners)

基于新型阈值处理函数的多算法融合小波去噪方法，去燥效果较好，可实现一维信号的有效降噪！另附有小波盲源分离代码(A Better Method based on a novel fusion algorithm of multi-threshold processing function , can achieve the effective denoising for one-dimensional signal. Additionally,Wavelet Blind Source Separation code is attached.)

利用MATLAB 提供的V2Realm Builder 建立倒立摆三维虚拟场景,用MATLAB 的虚 拟现实工具箱将倒立摆三维虚拟场景和Simulink 中倒立摆仿真模型连接起来,实现了虚拟倒 立摆的仿真。(The use of MATLAB to provide the inverted pendulum V2Realm Builder to establish three-dimensional virtual scene, using the Virtual Reality Toolbox MATLAB will be inverted pendulum three-dimensional virtual scene and the Simulink simulation model of the inverted pendulum linking realize the virtual simulation of the inverted pendulum.)

利用数据结构的二叉树概念编写的MATLAB程序实现HUFFMAN编码。(Binary tree data structure using the concept of the preparation of the MATLAB program Huffman coding.)

A detailed study and implementation of an RPC for FMCW radar

To design any filter using any window matlab code

全局阈值程序，用于matlab中图像分割，能够对比强烈的图片进行较好的分割。(Global threshold program, used in matlab image segmentation, can be used to better segmentation contrast images. )

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.