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FIT FILTER DESIGN in Matlab - Bandstop Filter(FIT FILTER DESIGN in Matlab- Bandstop Filter)

基于平稳-非平稳的滤波技术，主要应用于信号滤波，去噪。(Based on the stationary- non-stationary filtering technology, mainly used in signal filtering, de-noising.)

标准粒子群算法的实现思想基本按照粒子群算法(2) 标准的粒子群算法的讲述实现。主要分为3个函数。第一个函数为粒子群初始化函数 InitSwarm(SwarmSize......AdaptFunc)其主要作用是初始化粒子群的粒子，并设定粒子的速度、位置在一定的范围内。本函数所采用的数据结构如下所示： 表ParSwarm记录的是粒子的位置、速度与当前的适应度值，我们用W来表示位置，用V来代表速度，用F来代表当前的适应度值。在这里我们假设粒子个数为N，每个粒子的维数为D。(His thought of the implementation of the standard particle swarm algorithm according to the particle swarm algorithm (2)- the standard particle swarm algorithm about implementation. Mainly divided into three functions. The first function of particle swarm initialization function InitSwarm (SwarmSize... AdaptFunc), its main function is to initialize particle swarm particle, and set the particle s velocity, position in a certain range. The function of data structure is as follows: ParSwarm record table is the particle s position, speed and the current fitness value, we use W to represent the position, represented speed with a V, to represent the current fitness value with F. Here we assume that the number of particles N, each particle dimension for D.)

PDE introdution.let u konw hot to use the PDE to reliace in programe.I t is usful to anyone who wannto use PDE in project.

说明：  《C#案例开发》配套光盘文件,包括本书所有实例的源文件和执行程序，WinRAR自解压包。("C# case development" complementary CD documents, including examples of the book all the source documents and procedures, WinRAR self-extract package.)

实现盲解卷积的算法讲解和例程，非常好的资源(Blind deconvolution algorithms and routines to explain, very good resource)

大学信号与系统实验代码 实验一中的第一小题，简单程序matlab(University signal and system experimental code)

使用harris方法提取特征点，并保存特征点坐标(To extracted feature points use harris, and save the coordinates of the feature points)

一个数=其自身各位数字的立方和，成为水晶花数，此代码解决水晶花问题(A number = number of cubic meters of its own Members, and, as the number of crystal flowers, crystal flowers this code to solve the problem)

是一个关于LS算法和MSE算法的性能比较程序(About LS algorithm is an algorithm and the MSE performance comparison program)