Maple-and-MATLAB

说明：  详细介绍了VC混合编程的内容，与MATLAB等的相互调用(Described in detail the content of VC Mixed Programming with MATLAB call each other, etc.)

本程序为扩展卡尔曼滤波(ekf)的程序代码，可以供初学者学习。(This procedure is extended Kalman filter (ekf) code, for beginners to learn.)

matlab中Toolbox中带有的模型预测工具箱，有是示例程序(matlab in the Toolbox Toolbox with a forecasting model, there is a sample program)

说明：  最新出的樽海鞘算法源码，供大家参考使用，准确无误(The latest bottle scabbard algorithm source code, for your reference)

MMSE detection with qpsk

说明：  通信原理方面的一些基础matlab程序,包含数字基带传输系统中升余弦滚降系统,最佳基带系统,基带信号眼图,OOK,2PSK,2FS,MPSk,DSB,SSB,VSB(Some basic aspects of communication theory matlab program, including digital baseband transmission system Cosine system, the best base-band system, the baseband signal eye diagram, OOK, 2PSK, 2FS, MPSk, DSB, SSB, VSB)

This is the demo file for Rhors counter example: adaptive control for system with unmodeled dynamics, which show the lack of robustness of the traditional MRAC. DoSims.m: This script initializes the model parameters, run the simulation, and plot all the results automatically. L1Model_Rohrs.mdl:the implementation of L1 adaptive controller. MracModel_Rohrs.mdl: the implementation of the traditional MRAC. Refer to the following papers for background: C.E. Rohrs, L. Valavani, M. Athans, and G. Stein, "Stability Problems of Adaptive Control Algorithms in the Pressence of Unmodeled Dynamics", 21st Conference on Decision and Control, Dec 1982. Enric Xargay, Naira Hovakimyan and Chengyu Cao, "Benchmark Problems of Adaptive Control Revisited by L1 Adaptive Control", International Symposium on Intelligent Control and 17th Mediterranean Conference on Control and Automation, Thessaloniki, Greece, June 24-26, 2009, pp. 31-36.

遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)

simulink model for FSK

A Simple Singular Value Decomposition matlab code to compress an image