PID-matlab

带时延的纯方位角单站跟踪算法,它有效地解决了用EKF算法进行纯方位角跟踪时可能出现的不稳定和滤波发散现象以及声音信号的时延问题。(Pure time delay with a single station azimuth tracking algorithm, which effectively solved the EKF algorithm with pure azimuth tracking of the instability that may arise and filtering divergence phenomenon, as well as the voice signal delay problem.)

ADC report Matlab implementation

说明：  这是matlab编写的三个程序的代码以及最后结果，是综合实验时做的(This is three programs written in matlab code and the final result is to do comprehensive experiments)

一种新的符号定时和载波频率同步算法,该算法将OFDM符号分成几部分。它使用相关性和积累在几个OFDM 符号获得估计函数。当部分的长度小于ISI自由地区,该算法可以识别它。然后估计的最优符号定时和载波频率偏移可以获得。计算机仿真结果表明,该算法不仅可以跟踪时变信道变化但也有较小的MSE比ML估计算法。(A new symbol timing and carrier frequency synchronization algorithm is presented and the algorithm divides the OFDM symbol into several parts. It uses correlation and accumulation in several OFDM symbols to acquire estimation function. When the length of part is smaller than that of ISI free region , the algorithm can distinguish it. Then the estimation of optimal symbol timing and carrier frequency offset can be acquired .The computer simulation results show that the proposed algorithm not only can track time varying channel change but also has smaller MSE than that of ML estimation algorithm.)

用matlab打开即可，能能绘制功率谱的函数，十分方便 (Open using matlab can draw power spectral function is very convenient)

该程序介绍了有关八叉树编码的基本编程知识，对于初级学者易懂易学。(This program introduces the octree encoding basic programming knowledge, which ishelpful for junior scholars to understand.)

optimization techniques (line search, conjugate gradient)

matlab课件，希望能对急需它的朋友起到帮助(matlab courseware, it is hoped that friends of much-needed help)

恒模算法的matlab实现，这是个人的一点看法，对于不同的电脑可能会有不同的小问题，仔细检查即可(Constant modulus algorithm matlab realize, this is a personal point of view, may be different for different computers, double-check to)

Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for the k-fold cross-validation of SVR. All the programs are flexible and could be implemented by the users themselves.