Simplex-Method--matlab

这个是集成的小型文档图像透视变形校正的matlab源码(This is a small integrated document image perspective distortion correction matlab source)

说明：  MATLAB 语言的函数和命令大全，通过表格的形式列出来。(MATLAB language, functions and commands Daquan, listed by the form of tables.)

麦克风阵列的波束形成的算法，初学的可以参考一下。( Rear beamforming)

rls-dfeeq.m 均衡算法 用RLS-DFE算法实现(rls-dfeeq.m Equalization Algorithms with the RLS-DFE)

music算法是用于估计信号到达天线阵列的到达角度信息(music estimate doa of arrival)

Waterfilling algorithm (from [Palomar and Fonollosa, Trans-SP2004]) to compute: pi = (mu*ai - bi)^+ sum(pi) = Pt By Daniel Perez Palomar (last revision: May 10, 2004).(Waterfilling algorithm (from [Palomar and Fonollosa, Trans-SP2004]) to compute: pi = (mu*ai- bi)^+ sum(pi) = Pt By Daniel Perez Palomar (last revision: May 10, 2004).)

本书是《高质量c++编程指南》，林锐博士著，针对编程过程中可能会遇到的若干容易被忽略的问题进行了分析。(This book is "high-quality c++ Programming Guide" Dr. Lin Rui book for several problems easily overlooked programming process may encounter analyzed.)

说明：  自己编的遗传RBF神经网络程序，RBF神经网络，txt文件调试通过(Own series of genetic procedures for RBF neural network, RBF neural network, txt file debugging by)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)

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