MatlabandSTK

该程序是《图论及其应用》中最小生成树的克鲁斯科尔算法的其中一种描述方法，特点是求解过程和人们手动求解的思路相近。功能是输入一个赋权图的边的编号及其权值，程序返回最小生成树对应的边的编号。编号由用户自己定义，根据结果给出的编号可以由原图绘出最小生成树。(This program can get the smallest tree from a weighted-graph. )

说明：  由浅入深地介绍了vc与matlab混合编程的方法，并配有大量图片说明。代码注释详细。(Deep and introduced vc mixed with matlab programming method, and Peiyoudaliang caption. Detailed code comments.)

吸收光谱预处理，包括6种预处理算法，对吸收光谱预处理技术完成的比较完善。(The absorption spectra preprocessing, including six kinds of preprocessing algorithm, the complete absorption spectra of pretreatment technology is relatively complete.)

说明：  Matlab编写的粒子滤波算法源程序，内含中文程序注释(Matlab prepared on the particle filter algorithm simulation source)

A MATLAB-based implementation of an OFDM modem has been developed for use over an acoustic channel, modem. With full lists of coding. (A MATLAB-based implementation of an OFDM modem has been developed for use over an acoustic channel, modem.With full lists of coding.)

MODTRAN MATLAB 结合使用且可以移植到VC(MODTRAN MATLAB and can be used in conjunction ported to VC)

Three test programs provided. These programs just set the matrices to be diagonalized, then call the function repeatly. After each call it printout the transformed matrix, the diagonalizing matrix and the criterion and its decrease.

分析了电压型控制模式下的逆变器并网的电路结构和数学模型，提出了基于重复控制技术的光伏逆变器并网控制策略，仿真和实验结果表明方案满足逆变器并网要求。(Voltage control mode inverter grid circuit structure and mathematical model is proposed based on repetitive control technology photovoltaic inverter grid control strategy, simulation and experimental results show that the program inverter to meet and network requirements.)

图像处理的霍夫变换程序，采用M语言编写，对数字图像进行直线追踪(HOUGHLINES- detects lines in a binary image using common computer vision operation known as the Hough Transform. )

This toolbox contains functions related to image processing, including * images loading and generation. * filtering and blurring functions. * anisotropic and spacially variant filters. * non-linear filtering (median, LIC, bilateral). * High Dynamic Range image loading and equalization. * total variation image processing (denoising and decomposition). * non-wavelets image transforms such as local DCT