LQR控制

Matlab源文件将矩阵m中所有a元素的替换为b元素。(Matlab source file will be a matrix m of all elements for the b element to replace.)

OFDM Demodulation Code in Matlab

相关的 BSS 盲源分离问题和 CS压缩感知的结合4篇论文打包，以及一个声音信号混合分离的简单实现(the realization of BSS(blind source separation) and CS(compressed sensing), and a sample of volume signal s matlab illustration)

简介：IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。 文件清单： IFP_FCM算法原始论文： Improved fuzzy partitions for fuzzy regression models.pdf 程序清单： IFP_FCM.m - IFP_FCM算法主函数 initifp_fcm.m - initifp_fcm子函数 stepifp_fcm.m - stepifp_fcm子函数 distifp_fcm.m - distifp_fcm子函数 IFP_FCM_T_S_box_test.m - IFP_FCM测试实例：Box和Jenkins煤气炉数据T-S模糊模型辨识 数据文件： box_data.mat - Box和Jenkins煤气炉数据(IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM algorithm to solve the initial value setting is more sensitive, slow training, while iterating easy to fall into local minimum problem. And comes with Box and Jenkins gas furnace model identification data instance.)

捷联惯导仿真程序，可以比较好的帮助理解捷联惯导的原理，主要参考陈哲老师的捷联惯导原理(Strapdown inertial navigation simulation program, can help to understand better the principle of strapdown inertial navigation, strapdown references Chen Zhe teacher inertial navigation principle)

小生境粒子群算法编程，及20篇相关论文，全都是关于小生境粒子群的研究与应用(Niche Particle swarm algorithm programming, and 20 article about NPSO s research and application)

应用MATLAB进行电力系统潮流计算，以IEEE-14节点为算例(Power Flow Calculation of Power System for IEEE-14 bus)

一个16Qam预失真处理的程序，实现射频功率放大器的数字预失真(A 16Qam pre-distortion processing program)

该载波同步方案可应用于低信噪比和高动态同存的条件下 接收机设计中,通过对该方案进行MATLAB 仿真,结果表明了该方案能有效地解决了载波快速捕获与精确跟踪的 问题。(The carrier synchronization scheme can be applied with low SNR and high dynamic receiver design under the conditions of existence, through the program MATLAB simulation results show that the scheme can effectively solve the fast carrier capture and accurate tracking of the problem .)

matlab的学习教程与应用，及对比方案精选(matlab tutorial and application of learning, and selected comparison program)