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说明：  有关风力发电系统的文章，包含发电机的设计，整流逆变电路等等(Articles on wind power generation system, including the design of the generator, rectifier inverter circuit, etc.)

Matlab经典教程——从入门到精通详细的介绍了MATLAB的使用方法，是学习MATLAB必不可少的书籍(Classic Matlab Tutorial- from entry to the master detail the use of MATLAB is an essential book to learn MATLAB)

Matlab入门级图像处理程序：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理(Matlab entry-level image processing procedures : use Butterworth (Butterworth) low-pass filter to noise interference by the image smoothing)

最新的用于叶片各理化参量反演的模型，MATLAB语言，用于遥感反演(PROSPECT MODEL)

说明：  关于降采样和升采样的代码展示，可以在MATLAB中运行调试，能够给出结果(The code display of down sampling and up sampling can be run and debugged in MATLAB)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

说明：  本程序自己谢的卷积盲分离的程序，调用了几个函数！(This procedure Xie own Convolution Blind Separation of procedures, a few function calls!)

TDOA定位的Chan算法MATLAB源代码，不过是二维的，需要的同志可以下载一下(Chan algorithm MATLAB source code, but is two-dimensional, and we need comrades TDOA location can be downloaded at)

详细的介绍了清华大学的matlab7.0的工作原理(Described in detail the working principle of Tsinghua University matlab7.0)

Extended Kalman Filter for GNSS processing