design_by_Qpsk

利用matlab软件，用m文件实现信号的psk调制解调。(Using matlab software, with the realization of m document psk modem signals.)

说明：  关于MATLAB应用于调制解调器的设计。其中有详细的关于信号的调制与解调的MATLAB的程序(MATLAB used on modem design. Including detailed information about the signal modulation and demodulation of the MATLAB program)

说明：  提供了matlab编写元胞自动机的基本思路，并提供相关的实例，为元胞自动的初学者提供了很好的资料(Provides a cellular automaton matlab write the basic ideas, and provide examples of cellular automata the beginner to provide a good information)

3 gaussian random variable generation and plotting using matlab code

it is useful to generate gaussian random process...... which is the most requirred at the time of simulation.

matlab2009和2010从入门到精通的好教材(matlab 2009 and 2010 from entry to the proficient good material)

14 bus power flow analysis with fault using psat

说明：  matlab code for gfdm

图像配准常常是作为其他图像处理应用的前处理步骤使用的，往往用于图像的对准、目标识别与定位。介 绍了在MATLAB系统中，如何应用MATLAB的IPT函数对图像进行配准的方法：首先用人机交互的方法在待配 准图像与基准图像之间进行图像配准所必需的匹配控制点的选取，然后用这些匹配控制点来计算两图像的某种空 间几何变换关系，最后利用这个空间几何变换关系对待配准图像进行几何变换，获得配准结果。实验表明，该方 法实现容易，且非常有效。 (Image registration is often as other image processing applications, the use of pre-treatment steps are often used for image alignment, target identification and location. Introduced the system in MATLAB, how to use MATLAB function of the IPT image registration method: First of all, employing the method of cross-machine in question and the baseline image registration between image image registration by matching control points necessary for the selection, and then use these control points to match the two images to calculate the geometric transform the relationship between a certain space, and finally make use of the space relationship between the treatment of geometric transformations with quasi-geometric image transformation, the results obtained registration. Experiments show that the method easy and very effective.)

其文章包含4个文件:些文件是基于matlab的源程序:P0309：运用5种不同的梯度增强法进行图像锐化P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图P0312利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处(The article contains four documents: these documents is based on the matlab source: P0309: the use of five kinds of different gradient enhanced image sharpening method P0310: Image of high-pass filtering and mask handle P0311: the use of Butterworth (Butterworth) low-pass filter for noise interference by the use of the map P0312 Butterworth (Butterworth) high-pass filter for image sharpening Department)