Numerical-Methods-using-MATLAB-3rd-Ed

This script prints contents of a mat. type data file to the Matlab command window

固定步长和变步长批处理自然梯度语音盲分离算法，包括主程序和调用程序。(Fixed step and variable step-size batch natural gradient algorithm for blind separation of speech, including the main program and the calling program.)

用matlab语言编写的试井分析的程序，做出了均质无限大地层的图像(Matlab language with well test analysis procedures, has made an infinite homogeneous strata image)

这是一个非常好的关于OFDM的英文文章，它是国外的博士论文，对于想了解整个OFDM的朋友来说，可以了解到许多中文文章所没有的知识。(This is a very good article in English on OFDM, which is the doctoral thesis abroad, who want to understand the overall OFDM' s friends, you can understand that many Chinese do not have knowledge of the article.)

说明：  无网格法求解2维悬臂梁问题的Matlab程序，与有限元方法相比有很大的好处(the method of meshless)

应用LMS算法对Volterra级数预报，结果收敛，效果很好(Application of LMS algorithm Volterra series prediction, the results of convergence, good results)

自己编写的一个简单的归一化程序，很好用的，以及加了几个matlab的示例程序(very good)

simulation UPQC in matlab using state space model

对于一幅输入图像，将产生一幅输出图像，输出图像的每个像素点的灰度值由输入像素点决定，将感兴趣特征的对比度扩展使之占据可显示灰度级的更大部分。使一输入图像转换为在每一灰度级上都有相同的像素点数，均衡化会减少灰度级数。大多数自然图像由于其灰度值分布集中在较窄的范围之内，引起图像细节不够清楚。采用直方图修正后可使图像的灰度间距拉大或使灰度均匀分布，从而增大了反差，使图像细节清楚，达到增强的目的。(For an input image, will produce an output image, the output image gray value of each pixel from the input pixel decided to expand interest in the contrast of features to make it account for more gray levels can be displayed most. Make an input image is converted to grayscale in each pixel have the same points, equalization will reduce the gray series. Most natural images because of their gray value distribution concentrated in a narrow range, causing the image detail is not clear enough. Make the image histogram revised by the gray space widening or so gray uniform distribution, thereby increasing the contrast between the image details clear objective to achieve enhanced.)

名字已经很清楚了，结构分析有限元法与MATLAB程序设计-源代码(Name is already quite clear, structural analysis finite element method with the MATLAB program design- the source code)