pan-tomph

this file is a simulation of maximum boost control in z_zource inverter

Fredholm积分求解，关于适定问题求解的程序，可以供大家参考(Fredholm integral solution, the solution of the problem posed procedures for your reference)

LTE的详细讲解，对于OFDM等进行了讲解，对于LTE初学者有很大的帮助。(LTE detailed explanations, for OFDM, etc. were explained, the LTE is very helpful for beginners.)

matlab课件，希望能对急需它的朋友起到帮助(matlab courseware, it is hoped that friends of much-needed help)

由脚本输入相关值可以计算一个欧式期权； 通过匿名函数计算，其中一些call其它函数，如CDF和PDF。(This script is used for implement the Black-Scholes pricing model By the script ten related values of a European option can be calculated Anonymous functions are used in this script, and some of them call ohter functions, such as CDF and PDF.)

这是对彩色图像进行分块的matlab代码，自己可以根据需要修改。(This is a color image is divided into blocks of matlab code, they can be modified as needed.)

用小波变换实现sar图像去噪，包含实验报告，实验测试图像(Sar images using wavelet transform denoising, including test reports, laboratory test images)

说明：  通过小波变换，采用OMP算法，实现图像压缩重构(The wavelet transform, using OMP algorithm, image compression Reconstruction)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

second-order error-dynamics. In such a way, the mobile robot reaches its desired pose even in the case of kinematic modeling errors