2015-DFIG-DVR

matlab主要指令集合表，以供大家查阅之便(matlab main instruction set table for access to the U.S. will)

Landweber迭代正则化的加速，一个很好的正则化方法！(Landweber iterative regularization of the acceleration, a good regularization method!)

《精通matlab GUI设计》可视化编程宝典丛书，书后例程，全书各章所有例程(" Mastering matlab GUI design" Visual Programming Books Collection, the book routines, all routines book chapters)

基于SVR的线性系统故障诊断，假设线性系统在1.4s~1.6s期间发生前向通道恒增益故障，恒增益变化系数为1.8(Linear systems based on SVR fault diagnosis, assuming a linear system in 1.4s ~ 1.6s during forward channel constant gain fault, constant gain coefficient of variation of 1.8)

快速浏览时间序列数据。而且可以直接创建时间序列的图示，非常方便快捷。(MAT2FIGURE allows you to review timeseries data contained in a matfile very fast and efficiently. Furthermore, the created figure file can be used to distribute these data. After opening a matfile, mat2figure scans (struct) arrays for vector signals, tries to determine the time signal (if not specified at commandline) and creates a figure with built-in signal browser. Among the features are: - At signal selector, each signal is marked, whether it s an ordinary signal, just has constant values or is monotonically in-/decreasing - Signals can be plotted into existing or new subplots, time axes are linked and subplots can be rearranged in up to 6 columns - snapshots of current plots can be created for switching between different views very fast - figure can be printed to clipboard, eps- or png-file with hidden menubar - timeseries data are stored within the figure-file and can be exported to matfile or to workspace - convenient handling via keyboard shortcuts - signal viewer)

matlab simlink模块介绍，比较详细。(the matlab simlink module, a more detailed.)

TopHat algorithm. The algorithm based on gray scale opening.

这里是matlab的官方学习资料，对于初学者非常有用。(Here is the the Matlab official learning materials, is very useful for beginners)

该代码是粒子滤波实现弱小目标的检测前跟踪。(The code is particle filter to implementation the weak target track before detection.)

自动删除相同首列的行，重复数据中只保留最后一个数据，便于数据处理(Automatically delete the same rows, only reserve last data row)