yibudianjigezhongfangzhenmoxing

matlab搭建非线性模型，求解微分方程(construction of nonlinear model)

实现bpsk，qpsk等调制方式的识别用于调制识别的代码，通过提取特征参数，(For modulation recognition code, through the extraction of characteristic parameters, implementation bpsk, qpsk forms of identification, such as modulation)

说明：  输出电压稳定不随输入电压、输出侧负载变化而变化，电流电压环pi参数已整定完毕，内外环配合良好。(The output voltage stability does not change with the input voltage and the load at the output side. The PI parameters of the current voltage loop have been set.)

提供多种函数来计算perform uncertainty and sensitivity analysis，并用散点图和柱状图来显示计算结果。(We implemented many scripts and functions to perform uncertainty and sensitivity analysis (for PRCC and eFAST) and display scatter plots (for sample-based methods only). The scripts are written in Matlab7.1. The Statistical Toolbox is required to run them. The HIV ODE model is used as a template to illustrate the functions.)

Kurtosis calculate of blurred and restored image and compare them

元胞自动机源代码 用于动态仿真交通流模型 分析流量 密度 评价速度等指标(Cellular Automata source code for the dynamic simulation model to analyze traffic flow density assessment rate and other indicators)

使用matlab产生线性调频信号，并进行脉冲压缩处理。(Use matlab to produce linear FM signal, and pulse compression processing.)

说明：  XO Game with GUI 是一款用matlab编写的待用户界面的人工智能游戏。 This is an improvement on the previous text-based game that was previously created. This file features a GUI with the same AI and sound effects. The Computer plays based on very simple rules, yet it is difficult to beat. (XO Game with GUI is a matlab prepared to be used user interface artificial intelligence game. This is an improvement on the previous text-based game that was previously created. This file features a GUI with the same AI and sound effects. The Computer plays based on very simple rules, yet it is difficult to beat.)

在ｍatlab环境下开发的基于熵的免疫算法。希望对大家有所帮助！(Developed in the matlab environment entropy-based immune algorithm. We want to help!)

自己实现的瑞利分布，有很实用的价值，非常适合新手学习 (Rayleigh distribution of their implementation, there are very practical value, ideal for novice learning)