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This document is aimed at MATLAB® beginners who already know the syntax but feel are not yet quite experienced with it. Its goal is to give a number of hints which enable the reader to write quality MATLAB® programs and to avoid commonly made mistakes.

基于ESPRIT方法的频率估计，包括LS和TLS方法，并附不同SNR和观测信号长度情况下的性能比较程序。(Frequency estimation based on ESPRIT, including LS and TLS methods, together with the performance comparison of different SNR and the length of the observed signal case)

一个很好的Q学习源码，对于学习强化学习有很大的作用。(Q-learning a good source for learning reinforcement learning has a significant role.)

说明：  井筒参数的计算，盐穴储气库中的注采井的井筒的相关参数计算(Wellbore parameter calculation, salt cavern gas storage in the wellbore injection wells calculate the relevant parameters)

这是个关于瑞利信道仿真的程序，请高手指点(This is a letter of Rayleigh Road simulation program, the guidance of a master)

matlab中实现最小生成树的kruskal算法(matlab kruskal to achieve the minimum spanning tree algorithm)

雷达交叉定位精度分析，CRB界确定，寻求最远定位距离！(Radar cross positioning accuracy analysis, CRB sector determined to seek the farthest distance positioning!)

基于matlab编写的自适应遗传算法算例(Prepared based on adaptive genetic algorithm matlab example)

arma模型的matlab谱估计实现，较详细(arma model spectrum estimation matlab implementation)

增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)