EarthToMars

一个功能强大的数值分析程序，含有matlab中的guide界面设计，程序都有注释，易懂。(A powerful numerical analysis procedures, the guide contains the matlab interface design, application has comments, easy to understand.)

计算Rossler三周期循环模型的动态数值，并绘制动态三维图。(Rossler three cycles to calculate the dynamic numerical model, and draw a dynamic three-dimensional map.)

关于图像的灰度处理，翻转，很不错的源码还有界面。(On the gray image processing, flip, very good source are the interface.)

画出二阶戴维南RC等效电路的奈奎斯特曲线和一组数据的三维散点图，剖面图(Draw the second-order thevenin RC the Nyquist curve of equivalent circuit and a set of 3 d scatter plot of data, profilet)

天线阵的波束形成，包括Capon算法波达方向估计，MUSIC算法波达方向估计。适合学习，欢迎下载(capon、music MATLAB code)

MATLAB程序设计基础教程的视频教程，对初学者比较有帮助(MATLAB Programming Essentials video tutorial for beginners and more help)

Microstrip is a type of electrical transmission line which can be fabricated using printed circuit board technology, and is used to convey microwave-frequency signals. It consists of a conducting strip separated from a ground plane by a dielectric layer known as the substrate. Microwave components such as antennas, couplers, filters, power dividers etc. can be formed from microstrip, the entire device existing as the pattern of metallization on the substrate. Microstrip is thus much less expensive than traditional waveguide technology, as well as being far lighter and more compact. Microstrip was developed by ITT laboratories as a competitor to stripline (first published by Grieg and Engelmann in the December 1952 IRE proceedings).

time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N logN) time, gives the minimum mean-square-error estimate of the original undistorted signal. For time-varying degradations and nonstationary processes, however, the optimal linear estimate requires O(N2) time for implementation. We consider filtering in fractional Fourier domains, which enables significant reduction of the error compared with ordinary Fourier domain filtering for certain types of degradation and noise (especially of chirped nature), while requiring only O(N logN) implementation time. Thus, improved performance is achieved at no additional cost. Expressions for the optimal filter functions in fractional domains are derived, and several illustrative examples are given in which significant reduction of the error (by a factor of 50) is obtained.

人脸识别基于主成分分析（PCA）的matlab实现，附带部分注释。(PCA achieve recognition)

说明：  关于MATALAB的书籍文章很经典值得一看解压后必须使用超星浏览器观看(MATALAB article on classic books worth a visit after decompression must use a browser Chaoxing Views)