16QAMfangzhen

用matlab编程实现多进制PSK，容易上手(modulation mpsk,using matlab)

说明：  关于带通带阻滤波器的设计，巴特沃思滤波器 压缩包里有： bendpass.m 为带通程序 bendblock.m 为带阻程序 SE144.wav 采用的声音文件，请放在 C:\下 bendpass.wav 通过带通滤波器之后的声音，保存在C:\ bendpass.wav bendblock.wav 通过带阻滤波器之后的声音，保存在C:\ bendblock.wav (on Bandpass Filter with the design, Butterworth filter bag is compressed : bendpass.m for band-pass procedures for bandstop bendblock.m procedures SE144.wav the voice file, on the C : \ under bendpass.wav through bandpass filter after the voice preserved in C : \ bendpass.wav bendblock.wav band stop filter through after the voice preserved in C : \ bendblock.wav)

Skin Detection. This application allows the extraction, from an input image, the zones corresponding to the skin s color. to achieve this goal a learning phase was made ​ prior

说明：  IEEE33节点的并网风力发电可直接运行(The grid connected wind power generation of ieee33 node can operate directly)

matlab 遗传算法工具箱函数及应用实例(matlab genetic algorithm toolbox function and application examples)

基于四边形单元有限元原理，计算桁架系统在外力作用下，各节点位移与单元应变。主程序BLOCKMAT.m，从输入文件中读入结点个数，单元个数，结点荷载个数，受约束边界点数，弹性模量，泊松比，厚度，单元定义数组，结点坐标数组，结点力数组，约束信息数组。输入文件inport.txt不同参数代表不同的桁架结构。(Based on quadrilateral finite element principle, calculation of truss system under the action of external force, the displacement of each node and element strain. Main program BLOCKMAT. J m, read from input file node number, cell number, number of nodal load, a constrained boundary points, elastic modulus, poisson s ratio, thickness and unit defined array, node coordinate arrays, nodal force array, array constraints information. Input file inport. TXT different parameters represent different truss structure.)

这是根据汽车理论中的驱动力平衡基本方程所搭建的汽车行驶二自由度simulink仿真模型(this is a 2 degree dynamics simulating model under the matlab/simulink environment)

基于移动网格的无线传感器网络节点部署算法，是自己写的程序( based on moving grid wireless sensor network node deployment algorithm,wrote by myself.)

有用的matlab数据，大家看一下，或许对你有帮助。(Matlab useful data, we look at, perhaps to help you.)

MATLAB入门,有利于快速熟悉MATLAB(MATLAB portal is conducive to rapid familiar with MATLAB)