duandianjiance

包括了MATLAB中常用函数，是Matlab 初学者的好帮手。(Commonly used functions, including the MATLAB is Matlab beginners a good helper.)

matlab 比较实用 方便初学者学习的好资料(matlab facilitate more practical information for beginners to learn a good)

turbo码中常用的交织器，S-随机交织(The turbo code interleaver, S-random interleaver )

说明：  该文件提供了基于图像颜色特征检索的源代码(this artical provides the code based of the color of a image)

说明：  相关性的matlab程序，主要描述多个函数相关特性之间的关系的。(relevance of Matlab procedures, describing a number of functions related to the relationship between the characteristics of the.)

用来进行非向下采样的轮廓波变换的。非常好用(for the non subsampled contourlet transformation intended to do denoising for image)

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)

用matlab计算了一种弹簧的刚度，以及进行了线性回归(failed to translate)

nonlinear switching systems 仿真(nonlinear switching systems)

MATLAB下使用viterbi算法进行卷积码的仿真范例。可以用任意配置的卷积码。testConv.m启动仿真，其中用了两种卷积码(一个1/2和一个2/3卷积码）。若要使用硬判决，需修改metric.m文件。其他就没有什么要改的了。解压即可使用。(Under viterbi algorithm using MATLAB simulation examples of convolution codes. Can be used in any configuration of the convolutional code. testConv.m start the simulation, which used two convolution code (a 1/2 and a 2/3 convolutional code). To use a hard decision, modify metric.m file. Nothing else would want to change it. Extract can be used.)