mallat

说明：  电压型逆变器，学习逆变器的基本模型，适合入门的者 仿真软件matlab(Voltage-type inverter, inverter to learn the basic model, suitable for those who get into simulation software matlab)

本人编写的ofdm系统中的em信道估计matlab仿真程序，可直接运行(I ofdm prepared by the system of channel estimation em Matlab simulation program can be run directly)

说明：  本案例研究的目的是开发一种简单而有效的半隐式傅里叶光谱算法，用于相位场晶体模型的变形研究(The purpose of this case study is to develop a simple and effective semi-implicit Fourier spectral algorithm for the deformation study of phase field crystal models)

MATLAB课件 是比较好的一份MATLAB课件 很细很详细(MATLAB software)

说明：  本程序用于完成BPSK、QPSK、pi/4QPSK、OQPSK、8PSK、16QAM、32QAM、64QAM和128QAM的调制仿真。并可任意扩展到MPSK和MQAM。程序分成四个部分，fir.m对基带码元序列进行脉冲成型，可选矩形脉冲，升余弦脉冲和平方根升余弦脉冲； modal.m 为主程序，完成岁各种信号的基带星座图映射、脉冲成型和调制；pi4QPSK.m 为pi/4QPSK信号的星座图映射程序；test1.m给出一个简单的频谱显示测试。(This procedure for the completion of BPSK, QPSK, pi/4QPSK, OQPSK, 8PSK, 16QAM, 32QAM, 64QAM and the modulation 128QAM simulation. Arbitrary and may be extended to MPSK and MQAM. Procedures are divided into four parts, fir.m of baseband symbol pulse sequences forming, optional rectangular pulse, raised cosine square root raised cosine pulse and pulse modal.m-based procedures, the completion of the age range of the base-band signal constellation diagram mapping, pulse shaping and modulation pi4QPSK.m for pi/4QPSK signal constellation diagram mapping procedures test1.m given spectrum shows a simple test.)

本代码分析了全光纤微环谐振器的传输特性，同时分析了谐振器的参数如光纤的直径、微环的半径等，对谐振器的性能如自由光谱范围（FSR）及品质因子Q值的影响。(This code analyze the transmission characteristics of all fiber optic micro-ring resonators and the relation between the resonator parameters, such as the diameter of the optical fiber, the radius of the micor-ring, and the performance of the micro-ring, such as the free spectral range (FSR) and the quality factor Q .)

Main.m为粒子群算法程序,属于优化类，data.txt为粒子群算法的数据文件(The Main.m particle swarm optimization procedures, belonging to the optimization class data file data.txt for the particle swarm algorithm)

it is based on matlab software

Softmax 函数处理，softmax 用于 Deep Learning 后的分类器的实现与识别，此函数的参数经过优化，有较强的泛化能力和性能(Softmax function processing, softmax classifier Deep Learning for the realization and recognition, the parameters of this function is optimized, there is a strong generalization ability and performance)

说明：  直接序列扩频通信系统建模与仿真 PN码序列产生代码（matlab)(PN code sequence generated code (matlab))