Adaptive-Filtering-Primer-with-Matlab-(Alexander-

设r是f(x) = 0的根，选取x0作为r初始近似值，过点（x0,f(x0)）做曲线y = f(x)的切线L，L的方程为y = f(x0)+f (x0)(x-x0)，求出L与x轴交点的横坐标 x1 = x0-f(x0)/f (x0)，称x1为r的一次近似值。过点（x1,f(x1)）做曲线y = f(x)的切线，并求该切线与x轴交点的横坐标 x2 = x1-f(x1)/f (x1)，称x2为r的二次近似值。重复以上过程，得r的近似值序列，其中x(n+1)=x(n)－f(x(n))/f (x(n))，称为r的n+1次近似值(Let r is f (x) = 0 root, select the initial approximation x0 as the r, over point (x0, f (x0)) to do the curve y = f (x) the tangent L, L the equation y = f ( x0)+ f ' (x0) (x-x0), find the intersection of L and the x-axis of abscissa x1 = x0-f (x0)/f' (x0), x1 is called an approximation r. Through points (x1, f (x1)) to do the curve y = f (x) the tangent, and find the intersection of the tangent with the x-axis of abscissa x2 = x1-f (x1)/f ' (x1), x2 is called r the second approximation. Repeat the process, get an approximation of the sequence r, where x (n+1) = x (n)-f (x (n))/f ' (x (n)), as an approximation of r n+1 times)

主成份分析法在证券市场个股评价中的应用，可以用SPSS软件解决(Principal component analysis in the stock market evaluation of individual stocks, you can use SPSS software to solve)

用matlab实现的有关Ransac算法做的2D及3D拟合效果。(Use the matlab achieve Ransac of algorithm do 2D and 3D fitting effect.)

matalab的书籍，洗碗柜几点发的上课了几分快乐的vfdbfsvfdv (On dem good things and academic research can be used to offer you and progressive)

J法解Poisson方程，通过迭代输出结果并画图，结果包含迭代步数以及无穷范数(Solution of Poisson equation by J method, iterative output results and drawing, the result contains iteration step number and infinite norm)

matlab,2012安装包，有需要的可以看看(Installation package)

ieee6节点粒子群潮流程序 适用于各种毕业设计(IEee6 node particle swarm tide procedure is applicable to all kinds of graduation design)

自适应均衡领域的经典算法，最小均方误差算法（LMS）算法的数字均衡器建模源代码。建模建立了一个通信系统的收发两端，并模拟了信道衰减和噪声。并在接收端使用了数字均衡器。主程序中一次在接收端使用了自适应均衡器，另一次没有使用，可以清楚看到均衡前后误码率的差别。(The field of classical adaptive equalization algorithm, the minimum mean square error algorithm (LMS) algorithm for modeling digital equalizer source code. Modeling the establishment of sending and receiving ends of a communication system, and simulate the channel attenuation and noise. And at the receiving end using a digital equalizer. Once the main program at the receiving end using adaptive equalizer, another did not use, you can clearly see the difference before and after the equalizer BER.)

这是非线性薛定谔方程的源代码m文件，可以帮助研究(This is the source code of Nonlinear Schrodinger equation)

这个是非常好的一个 MATLAB试验程序 大家下次啊看(there is a big powerful code you can try it)