MANET源代码

应用背景简单的图片找图..抢微信红包也是用这个找图了.windows系统找图必需品,集成到自己作品超好类库.可扩展多种模式........关键技术简单的图片找图算法图找色.色对比..超容易调用.配合模拟按键(过了再发)就是一个按键精灵了.........按键精灵就是找图点击按键...........

基于msp430的温度检测，温度检测用的是ds18b20。里面配套的ad10原理图，pcb图，非常适合msp430初学者学习。

深度优先遍历图的方法是，从图中某顶点v出发： （1）访问顶点v； （2）依次从v的未被访问的邻接点出发，对图进行深度优先遍历；直至图中和v有路径相通的顶点都被访问； （3）若此时图中尚有顶点未被访问，则从一个未被访问的顶点出发，重新进行深度优先遍历，直到图中所有顶点均被访问过为止。　当然，当人们刚刚掌握深度优先搜索的时候常常用它来走迷宫.

用matlab编写的，有限元三维梁单元的单元刚度矩阵计算程序，各节点6个自由度。-prepared by the three-dimensional finite element beam element of the element stiffness matrix calculation program, the 6-DOF nodes.

计算雅克比行列式的小程序-calculating the determinant than small programs

ACM一些题目，很有难度。能做出来的是高手。-ACM some questions, very difficult. Can come out is a master.

此程序为分段最小二乘算法曲线拟合,可对一模型进行分段拟合,增加准确性和精确度.-This program is sub-least-squares curve fitting algorithm can be fitted to a sub-model to increase the accuracy and precision.

逐次超松驰迭代法(Successive Over Relaxation Me thod,简称SOR方法)是高斯―塞德尔方法的一种加速方法，是解大型稀疏矩阵方程组的有效方法之一，它具有计算公式简单，程序设计容易,占用计算机内存较少等优点,但需要较好的加速因子(即最佳松驰因子).下面我们首先说说松驰一词的含意,再利用它来解释雅可比迭代法与高斯―塞德尔迭代法,最后给出逐次超松驰迭代法的推算公式和收敛性条件.-Successive over relaxation iteration method (Successive Over Relaxation Me thod, called SOR method) is the Gauss- Seidel method for an accelerated method is solution of large sparse matrix equations, one effective method, it has a simple formula, programming easy, take up less computer memory, etc., but the need for better acceleration factor (that is, the best relaxation factor). Let us first talk about the meaning of the term relaxation, and then use it to explain the Jacobi s iterative method and the Gauss- Seidel iterative method, and finally gives successive over relaxation iterative method of projection formula and the convergence condition.

24点Fourier算法，用标准C编写，实现速度优化

自动谱分析：可用于丢失/采样/子束光谱分析；矢量自动迭代，可用于建模，故障诊断；-The applications of this additional toolbox are: - Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, - Vector Autoregressive modeling and Detection [uses ARMASA] - Reduced statistics ARMAsel: A compact yet accurate ARMA model is obtained based on a given power spectrum. Can be used for generation of colored noise with a prescribed spectrum. - ARfil algorithm: The analysis of missing data/irregularly sampled signals - Subband analysis: Accurate analysis of a part of the power spectrum - Detection: Generally applicable test statistic to determine whether two signals have been generated by the same process or not. Based on the Kullback-Leibler index or Likelihood Ratio. - Analysis of segments of data, possibly of unequal length.