svm_demo

说明：  提供了MATLAB编程的经典实例,覆盖了大部分的实用功能。(MATLAB example)

说明：  基于小波变换的图像融合技术，不过对于不同的图片可能需要有所改动(Image fusion based on wavelet transform technique, but for different images may need to be changed)

matlab求解二阶常微分方程数值解，具有较好的效果，对学习matlab非常有用。(matlab solving second order ordinary differential equations, with good results, to learn matlab very useful.)

lsb water marking lsb water marking lsb water marking lsb water marking lsb water marking lsb water marking lsb water marking

Non Local Bayesian Filter for Speckle reduction

随机神经网络(en: Stochastic Neural Networks)是一种人工神经网络，并作为人工智能的工具。它们向神经网络引进随机变化，一类是在神经元之间分配随机过程传递函数，一类是给神经元随机权重。(Random Neural Network (en: Stochastic Neural Networks) is an artificial neural network and artificial intelligence as a tool. They introduce random changes to the neural network, one is assigned a random process transfer function between neurons, one is to neurons random weights.)

说明：  麦克风阵列的自适应波束形成Matlab仿真，麦克间距和信号带宽可调，采用最小均方自适应波束形成算法(microphone array of adaptive beamforming Matlab simulation, and signal spacing Mike adjustable bandwidth, using LMS adaptive beamforming algorithms)

C库基本函数的实现过程，都是标准C的函数，写的很好的(C library implementation process of the basic functions are standard C functions, written in good)

一、 牛顿－拉夫逊法概要 首先对一般的牛顿－拉夫逊法作一简单说明。已知一个变量X的函数 （4－6） 解此方程式时，由适当的近似值X（0）出发，根据 （4－7） 反复进行计算，当X（n）满足适当的收敛判定条件时就是（4－6）式的根。这样的方法就是所谓的牛顿－拉夫逊法。 式（4－7）就是取第n次近似解X（n）在曲线 上的点 处的切线与X轴的交点作下一次X（n+1）值的方法。参考图4－2（a）。在这一方法中为了能收敛于真解，初值X（0）的选取及函数f（X）必须满足适当的条件，如图4－2（b）所示的那种情况就不能收敛或收敛到别的根上去。 这一方法还可以做下面的解释，设第n次迭代得到的解与真值之差，即 的误差为 时，则 （4-8） 把 在 附近对 用泰勒级数展开 （4-9） 上式略去 以下的项 （4-10） 的误差可近似由上式计算出来 图4-2 （4-11） 比较式（4-7）和（4-11），可以看出牛顿-拉夫逊法的修正量和 的误差的一次项相等。 用同样的方法考虑，给出对n个变量 (:Because of the importance and complexity of power system, better algorithm and programme language is very important . An interior point method based on the perturbed Karush2Kuhn2Tucker (KKT) condition is pre2 sented in this paper , where the method and process for the optimal power flow is treated through the Matlab’s symbolic math toolbox and Mfunction is also presented. Using the symbolic code , it can improve the adaptability of the programme dramatically. The advantage is that , what we need to do is change the model expression. We can make use of the symbolic programme to check our programme while we write the Mfunctions. Using the Mat2 lab , we find the optimal solutions and calculate quickly and efficiently. It has proposed the powerful and unique functions of Matlab in the optimization and calculation for power system. Key words :power system symbolic calculation optimal power flow interior point method)

数学建模，用于小程序的建模，十分有用，毕业设计用的( ground wave radar simulation MATLAB program gives the graphical interface)