qxc

小生境遗传算法程序 ％ MyFun1.m - 一维优化函数 ％ MyFun2.m - 二维优化函数 ％ MyFun3.m - 三维优化函数 ％ Main_GA1.m - 一维函数优化 - 主程序 ％ Main_GA2.m - 二维函数优化 - 主程序 ％ Main_GA3.m - 三维函数优化 - 主程序(Niching genetic algorithm procedure MyFun1.m- one-dimensional optimization function MyFun2.m- two-dimensional optimization function MyFun3.m- three-dimensional optimization function Main_GA1.m- one-dimensional function optimization- the main program Main_GA2.m- two-dimensional function optimization- the main program Main_GA3.m- three-dimensional function optimization- the main program)

matlab program for guidance purpose

窗函数的进一步介绍，单峰谱线插值算法，双峰谱线插值算法，prony法等MATLAB仿真源程序，参考北航的85个实用案例精讲。(It is very good button source code integrity, and can be used directly.Source program based on MATLAB simulation)

利用PSO算法设计传感器的动态补偿器，使补偿之后的传感器的动态性能指标得到提高。(PSO algorithm design using dynamic compensation of sensor devices for the compensation of the sensor after the dynamic performance is improved.)

To decode SIRC data when someone want to build some device remote control.

说明：  本程序是用来预测简单的时间序列的数据，欢迎大家一起来探讨学习(time series data of the prediction)

生成微波遥感方面的海面回波波形,用于海浪波谱仿真,计算.(to generate the microwave remote sensing ,brown ocean wave return model)

KStest，检验变量服从什么分布，使用KSTEST函数(KStest, testing variables obey what distribution KSTEST function)

近似熵是一种衡量衡量非线性时间序列复杂性的非线性动力学分析方法，其物理意义 为熵值越大，时间序列的自我相似性越低，序 列越复杂，反之序列自我相似性越高；并且样 本熵对于序列长度依赖弱，仅需较短的数据就 能够得到稳健的熵值，同时其计算不需对数据 粗粒化，具有较好的抗干扰能力 (Approximate entropy is a measure to measure the complex nonlinear dynamics of nonlinear time series analysis method, the physical meaning of entropy value is larger, the lower the self-similarity of the time series, the more complex the sequence, whereas sequence of self-similarity the higher and the sample entropy weak dependence for the length of the sequence, only shorter data can be healthy entropy value, calculated without data coarse-grained, with good anti-jamming capability)

说明：  大家好，本程序功能是VC环境下Matlab组件后绑定的实现，希望对大家有所帮助(Hello everyone, this program features is the VC environment Matlab after the binding components to achieve, I hope all of you to help)