LMS

计算井下矩形巷道中多径传输的接收点归一化功率的几何光学仿真(Underground tunnel in the calculation of a rectangular multi-path transmission normalized power receiving point of geometrical optics simulation)

模拟雷达，对雷达的功能进行分析，可以根据对参数的修改方便地看到输出的图形结果(simulated radar, the radar functional analysis Based on parameters can be amended easily see the graphics output results)

一本matlab入门书籍，通熟易懂，适合初学者。(A matlab entry books, through the familiar and easy to understand for beginners.)

image processing,matlab code for image processing, Matlab Image Processing Basic,image processing projects matlab

MATLAB连续潮流程序（9节点） （百度百科）连续潮流需要注意的问题： 1 连续潮流中两个重要的问题是：连续参数的选择和步长的确定。参数选取不正确或是步长不合理都会导致潮流不收敛。 2 连续潮流所求出的负荷裕度是针对特定网络状态和特定的负荷增长方式而言的。当增长方式改变或是网络结构或是参数发生改变后，连续潮流求出的负荷裕度是会改变的。 3 至今为止，出现了基于负荷增长的连续潮流、基于网络断线故障的连续潮流等。 (MATLAB continuous flow program (9 nodes) (Baidu Encyclopedia) continuous flow problems that need attention: A continuous trend in two important questions are: selection and step continuous parameter determining long. Parameter selection is incorrect or unreasonable step will not lead to the convergence trend. 2 continuous load margin is determined by the trend for a particular network status and specific in terms of load growth. When changing the growth mode or network structure or parameters are changed, the load margin is calculated continuous trend will change. 3 So far, there has been a continuous trend based on load growth, based on network fault and continuous flow and so on.)

主要介绍在matlab中如何使用好绘图的函数，以及一些例子(Mainly introduces how to use the matlab function better graphics, as well as some examples)

说明：  一种基于噪声模板的 uwb 仿真 将训练序列进行叠加(noise )

Calculation of radiation pattern

进行快速傅里叶变换的程序，可以利用C++或者MATLAB直接完成快速傅里叶变换(Fast Fourier transform for the program can be utilized C++ or MATLAB directly to complete the fast Fourier transform)

快速NCC(normalized cross correlation)算法实现。比matlab自带的normxcorr2 快10-20倍。在windows Unix环境下c语言，和matlab编译通过。(use Matlab on Windows or Linux or Mac OS X and want fast (exact, general-case) normalized correlation (NCC) code right now, then download it and enjoy the large performance gain over Matlab s normxcorr2 (demo included). For the brave (and/or masochistic) there is B), however, it is unlikely you will do better than the above. Thanks to Liang Jin for making the OS X binary (his performance comparison graph on a PowerPC). )