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一篇很好的学习Matlab的电子书籍，推荐(Matlab a good learning experience of e-books, recommend)

这是计算分维数的分形程序，经检测能完美运行，效果很好。(This is dimensions calculation fractal program, after testing can perfect operation, the effect is very good. )

image read & write file in matlab

利用帧差法实现视频中的物体检测，只能跑图片，须将视频转(Object detection based on frame difference.)

神经元信号处理软件，处理多电极阵列记录的*.mcd数据(neurons signal processing software to handle multi-electrode array record data*. mcd)

利用MATLAB GUI设计实现图像处理的图形用户界面，利用MATLAB图像处理工具箱实现以下的图像处理功能： 1. 采用matlab Guide设计实现图像界面与按钮界面。 2. 连接摄像头，编写MATLAB初始化程序 3. 用摄像头采集一副图像，并能实现保存（使用控件按钮保存）。 4. 设计按钮实现对图像进行任意的亮度和对比度变化调整，显示和对比度变化前后的图像。 5. 设计按钮实现用户能够用鼠标选取图像感兴趣区域，显示和保存该选择区域。 (Designed and implemented using MATLAB GUI graphical user interface, image processing, using MATLAB image processing toolbox of image processing functions to achieve the following: 1. Designed to achieve an image using matlab Guide button interface with the interface. 2 Connect the camera to write MATLAB initialization procedure 3, with the camera capture an image and save to achieve (using the control button to save). 4 Design button on the image to achieve any change in the brightness and contrast adjustment, display, and contrast changes before and after images. 5 button design to achieve the user to select an image region of interest with the mouse, display and save the selected area.)

matlab codes to generate 3D hip phantom

英文版，MATLAB，主要解决数学应用方面的问题，数学系同学的必备资料(English, MATLAB, mainly to solve mathematical application problems, the essential information Mathematics students)

A Learner s guide for programming using python language.

LS（Least Square，最小二乘法）算法是信道估计算法中最基本的算法之一。在MIMO-OFDM系统中，经常选择LS算法或其改进算法对信道进行估计。利用LS算法设计信道估计器，算法结构简单易于实现，且估计器不需要知道信道中各个收发天线对之间的自相关矩阵和噪声。(LS (further Square, Least Square) algorithm is one of the most basic algorithm of channel estimation algorithm. In MIMO- OFDM systems, often choose LS algorithm and its improved algorithm for channel estimation. Use of channel estimator and the LS algorithm design algorithm structure simple and easy to implement, and the estimator does not need to know in the channel between the sending and receiving antenna for autocorrelation matrix and noise. )