gsd_OFDMA_schedule

实现用systerm generation 完成fft变换。原理清晰，但是结构相对复杂，请大家认真看原理，来自日本书。(Systerm generation completed using fft transform. Principles of clarity, but the structure is relatively complex, please look carefully the principle of everybody, from the Japanese book.)

说明：  《通信原理-系统调制与噪声》书中相应各章节对应程序，Rodgers E.Ziemer William H.Tranter著，袁东风等译(&quot Communication Theory- system modulation and noise,&quot the book chapters correspond to the corresponding procedures, Rodgers E. Ziemer William H. Tranter a, Dong-Feng Yuan, M.)

基于粒子群算法的微电网优化调度，在运行成本最小，环境友好的条件下，优化发电单元的出力s.(Based on the particle swarm optimization algorithm, the optimal output of the power generation unit is optimized under the condition of minimum operating cost and environment.)

将2,4,8进制的DPSK信号的误码率曲线进行仿真，并将其放在一个图中进行对比(2,4,8-ary DPSK signal simulation BER curves, and placed in a graph comparing)

文件最前面标有svpwm的表示该文件：三相电源先通过二极管整流，在用IGBT以svpwm方式三相逆变，驱动电机运转。 其他的都是simulink中对一些常用模块的功能进行比较简单的练习(File front marked with svpwm representation of the file: the first three-phase power rectifier diode, IGBT svpwm three-phase inverter drive motor running. Simple exercises are simulink some commonly used module functions)

programme de sttc o bien stbc1

用MATLAB编写的计算任意曲线围成区域面积的程序，用隐函数描述(Calculation of any curve using MATLAB enclosed area of ​ ​ the program, described by the implicit function)

遗传算法的算法实例，我是一个初学者，通过研究这些现成的代码，感觉对自己挺有帮助(It is helpful for those who study MATLAB first time)

说明：  先进PID控制及其MATLAB仿真 1、所有仿真程序按章归类，光盘中的程序名与书中一一对应。 2、将光盘中的仿真程序拷入硬盘MATLAB运行的路径中，便可仿真运行。 3、本书仿真程序在MATLAB 5.3版下运行成功，并适用于其他版本。 (Advanced PID Control and MATLAB Simulation 1, all the simulation procedures are classified by chapter, the program name CD-one correspondence with the book. 2, CD-ROM drive copyed MATLAB simulation program running path, simulation can be run. 3, the book version of simulation program in MATLAB 5.3 running successfully, and apply to other versions.)

隐马尔科夫树模型，这是一个自包含的程序包，包括2维离散小波变换和逆小波变换 例程。在每个子带中每个刻度的所有小波系数都绑在一起，避免了模型的过度拟合。(This is a self-contained package including the 2-D DWT and inverse DWT routines. All wavelet coefficients at each scale within each subband are tied together to avoid overfitting of the model. )