dis_imuraw_fft

说明：  一阶船舶操纵运动模型动态仿真的研究，是基于matlab的船舶旋回仿真，希望对大家有所帮助。(very good！)

指纹识别源代码。思路完全是按照文件夹中网页里介绍的方法，即提取指纹中的分叉点和端点的位置作为指纹的特征值。由于今天太忙，对图像的预处理作的很失败，程序会提取出很多伪点，而指纹轮廓也没有想出办法过滤。汗，你看看能不能参考把。 三个m文件，fd.m提取指纹中的分叉点，fd2.m提取指纹中的端点，Cpoint.m则是前两个文件运行中需要调用的掩模函数。(fingerprint identification code. Thinking is entirely in accordance with the folder on the website Lane, that the fingerprints of the bifurcation point and endpoint position as a fingerprint eigenvalues. As today are too busy, the image preprocessing for the failure, the program will extract a lot of pseudo-point, and the fingerprint profile nor find a way to filter. Khan, you can look at the information put. 3 m documents, fingerprints fd.m the bifurcation point, fd2.m fingerprints of endpoint, Cpoint.m are two documents before the operation need to call the mask function.)

2000年数学建模B题 材料运输问题 MATLAB和LINGO程序代码(Mathematical modeling in 2000 B topic materials transportation problem and LINGO MATLAB program code )

equal gain combining-spatial diversity

一个matlab是一个数学计算软件的，时间到了(A matlab is a mathematical calculation software, time is running out)

在Matlab环境中编制了以雨流计数法为理论基础的二维载荷谱程序,用以对混合动力电动车电机驱动系统载荷时间历程进行统计处理,得到载荷幅均值雨流矩阵,进行幅均值各自分布假设检验,以及独立性和相关性检验,获得二维联合分布概率密度函数,建立混合动力电动车电机驱动系统台架试验用二维载荷谱.(Prepared in Matlab environment of the rain flow counting method with the theoretical basis of the two-dimensional load spectrum procedure for hybrid electric vehicles on the motor drive system for statistical processing time course load, get a load amplitude mean rain flow matrix, be the mean amplitude of each distribution hypothesis testing, as well as independence and correlation test to obtain a two-dimensional probability density function of the joint distribution, the establishment of a hybrid electric vehicle motor drive system with two-dimensional bench load spectrum.)

扩展卡尔曼滤波算法简单例子以及对应的matlab程序和仿真结果(Examples of extended Kalman filter algorithm is simple and the corresponding matlab procedures and simulation results)

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)

里面包括了MATLAB的一些常用的函数的参考，对与学习的朋友们可以说是一个总结性的文档(Which includes a number of commonly used MATLAB function reference on friends and learning can be said to be a summary document)

matpower算例程序程序及详细的说明文件，方便改进算法(matpower study program procedures and detailed documentation to facilitate improved algorithm)