Matlabthinningalgorithm

模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。 (Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)

说明：  该程序用来检验monte carlo随机数的分布是否满足随机性要求。包括独立性检验、均匀性检验和参数检验。(procedures used to test the Monte Carlo random number distribution to satisfy the requirements randomness. Including the independence test, uniform test parameters and test.)

开源卡尔曼滤波器,带说明文档,例子. 提供了很多命令.可以入门学习,也可直接用(Kalman filter open source with documentation, examples. To provide a lot of orders. Can be entry-learning can also be directly)

二维主成分分析方法在人脸识别中的研究，MATLAB开发环境开发(Two-dimensional PCA methods for face recognition research, MATLAB development environment, development)

信源为数字信号信道信噪比为10dB的直扩通信系统仿真实验--直扩通信系统仿真源代码(Source to a digital signal channel 10dB SNR DSSS communication system simulation- DSSS communication system simulation source code)

在MAtlab中关于多级哈尔变换函数，可以实现简单的图像处理的小波变换(Multi-level Haar transform function)

c++ 通用弹道仿真计算程序(经典版) 程序源代码(c++ common trajectory simulation program (classic version) source code)

位同步仿真，有仿真数据的输入，以及转换，可以输入到verilog中仿真(Bit synchronous simulation, simulation data input, and conversion, can be entered into the simulation verilog)

multisim 实现am dsb ssb 调制(multisim design)

Nsdcalc.m is a Matlab program for performing the image enhancement process described in the accompanying paper. Place the program in your work directory along with the demonstration data file grav.txt. At the Matlab prompt type