mutual_registration

用于三维无网格法matlab编程的权函数程序代码，移动最小二乘法编制。(Meshless method for three-dimensional weighting function matlab programming code, moving least squares convention.)

使用matlab，用于基于奇异值分解（SVD）的图像压缩(image compression based on Singular value decomposition (SVD))

说明：  光伏电池建模与MPPT算法和DCDC电路建模，能实现MPP的锁定(Modeling of photovoltaic cells, MPPT algorithm and DCDC circuit can achieve MPP locking.)

欢迎大家下载学习，PLS部分最小二乘工具箱,有小波分析的盲信号处理。( Welcome to download the study, PLS PLS toolbox, There Wavelet Analysis Blind Signal Processing.)

matlab仿真出圆孔的菲涅尔衍射，其中有四副图，原图，二维衍射图样，函数图象和三维衍射图样(matlab simulation of a circular Fresnel diffraction, including four plans, artwork, two-dimensional diffraction patterns, functions, images and three-dimensional diffraction pattern)

高阶滑模变结构程序实例，参考《非线性不确定系统的鲁棒滑模观测器设计》(Higher Order Sliding Mode Control Program)

说明：  如何对随机生成的矩阵进行QR分解和并利用QR分解解决最小二乘问题.(Use Householder reflector to compute the QR factorization of a randomly generated matrix and then solve the Least-Square problems.)

The aim of this application is to implement scalable mpeg type compression by varying DCT coefficients and finding minimum number of DCT coefficients that can give minimum acceptable quality.. This application only works for gray scale.

matlab代做调试修改GUI界面simulink程序NIT工具箱二重积分MATLAB包括拥有数百个内部函数的主包和三十几种工具包。工具包又可以分为功能性工具包和学科工具包。功能工具包用来扩充MATLAB的符号计算，可视化建模仿真，文字处理及实时控制等功能。学科工具包是专业性比较强的工具包，控制工具包，信号处理工具包，通信工具包等都属于此类。 (matlab doing some debugging modify the GUI toolkit NIT double integral MATLAB simulink program has hundreds of internal functions, including the primary package and several 30 kits. Kits can be divided into functional disciplines toolkit and toolkit. Function tool kit used to expand the MATLAB symbolic computation, visualization, modeling and simulation, word processing, and real-time control functions. Discipline tool kit is relatively strong professional toolkit, Control Toolkit, signal processing toolkit, communications toolkit belong to this category.)

matlab开发实例,是刚学习MATLAB的特别好的资料 (Development matlab examples, is just learning MATLAB s particularly good information)