SIFT

matlab下的数字图象处理例程,其中有关图片文件只要随便找个图片就可以了(matlab under the digital image processing routines, including the relevant picture file as long as you can not find a picture of the)

最大似然估计分类算法的matlab实现，可以对需要分类的数据进行最大似然分类。(Classify using the maximum-likelyhood algorithm.Outputs is the Decision sufrace.)

手把手指导神经网络matlab编程 并附有重要部分代码(Hands-on guide matlab neural network together with an important part of programming code)

采用回路阻抗法应用于n节点的电力系统，对于电力系统配电网潮流计算收敛速度快，准确度高。(Loop impedance method applied to the n-node power system, power system distribution power flow calculation and fast convergence, high accuracy.)

matlab program for digital communication

图像反转/灰度线性变换/非线性变换/直方图均衡化,源代码.(Image reversal/gray linear transformation and nonlinear transform and histogram equalization, the source code)

关于信号处理方面音效移频中解析信号的产生方法，该方法让人耳目一新，通过先设计频域，再求逆，时域上进行采样，得到两个FIR滤波器逼近希尔伯特变换器。(Aboat an efficient method of analytical signal generation in audio frequency shift.This method refreshing, first design in the frequency domain, then sampling in the time domain, getting two FIR filters approximate Hilbert transform.)

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)

说明：  lms/rls的自适应均衡算法仿真源代码,两个函数打包(lms/rls adaptive equalization algorithm simulation source code, two functions are packaged)

matlab code to plot figure inside figure (main and inset)