Simple_SVD_Compression

基于相位的模板匹配算法，此算法快速，可行性较好~(Template matching algorithm based on phase, this algorithm is fast, the feasibility of better ~)

数字通信系统的基本调制方式的matlab仿真程序(Digital communication system of basic modulation of matlab simulation program)

这是5个有关Kinect face recognition的paper，介绍了kinect的相关知识和人脸识别的一些知识，很有帮助。(face recognition with 3D kinect.)

通过史密斯圆图进行相关计算 求得输入阻抗( Correlation calculation determined by the input impedance Smith chart)

本文在阐述聚类分析方法的基础上重点研究FCM聚类算法。FCM算法是一种基于划分的聚类算法，它的思想是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。最后基于MATLAB实现了对图像信息的聚类。( This paper describes the basis of cluster analysis methods and focus on the FCM clustering algorithm. FCM algorithm is a clustering algorithm based on division and the idea is to make it to the same cluster is divided into the biggest similarity between the objects, while the minimum similarity between different clusters. Finally, I realize the implementation of image information of the cluster based on MATLAB.)

cavity流，LBM方式Matlab实现(cavity flow, LBM way to achieve Matlab)

这是根据韩京清的自抗扰控制技术书本编写的ADRC仿真程序，运用到坦克炮控系统上(This is according to Han Jingqing the ADRC ADRC technical books written simulation program, applied to the tank gun control system)

针对二值图像的广泛应用，嵌入鲁棒性水印，测试其抵抗结合攻击的能力。(value against the wider use of images, embedded watermark robustness testing their resistance combination attacks.)

任务： 1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线（参考PPT2.1第17页的两幅图）； 2） 写出最陡下降法以及LMS算法的计算公式（取 ）； 3） 用MATLAB产生方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形（即产生任意一个噪声随机序列）； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线（参考PPT2.1第17页的右下图的曲线1和曲线2）。 5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 注意：某一次实现的结果并不能从统计的角度反映实验的结果 的正确性，为得到具有统计特性的实验结果，可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时，J(n)的100次实验结果的平均值随时间n的变 化曲线（即 生成随机噪声信号并计算结果，重复执行100次， 求平均结果）。 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； (Task: 1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 ) 2 ) Write the steepest descent method and the LMS algorithm formula ( take ) 3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence ) 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) . 5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)

数值分析实验报告，文档中附有源码，可供学习数值分析的学生借鉴学习。(Students learn from numerical analysis lab reports, document with source code, available for study and numerical analysis)