MATLAB

一本工具书，详细介绍了simulink的各个模块。(A book, detailing each module in Simulink.)

我再其它论坛上下得模拟退火算法，希望对搞这方面研究的朋友有帮助(I would get up and down the other forums simulated annealing algorithm, we want to engage in research in this area to help a friend)

信号与系统学习matlab工具箱，提供各种信号仿真(the study of signal and system )

将实信号变换为复信号，提取信号幅值、相位角，计算相位同步指数，分析各组信号数据之间的同步稳定性。(The signal is converted into a complex signal, extraction of signal amplitude, phase angle, calculation of phase synchronization index, analysis of stability of synchronization between each signal data.)

用matlab程序实现十进制数向二进制数的转化(realize the transformation of the decimal number to a binary number by Matlab program)

先将47168bit的宿主音频等步长分段,分为1000段，然后混沌序列选择其中的102段，对每段进行3及小波分解，挑选出绝对值最大的系数，运用嵌入公式。(47168bit first step of the host audio sub-divided into section 1000, and then select one of the 102 chaotic sequence segment, on each piece of a 3 and wavelet decomposition, the largest absolute value coefficients selected using the embedded formula.)

时域有限差分方法——之材料介质边界的计算方法(PLSAMA MATERIAL PROGRAME)

Frame subtraction code written by me using matlab it takes a video s first frame and subtract each frame from it. it shows output video and input video side by side

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.)

适用于三维的快速傅里叶变换的MATLAB程序(3d NUFFT)