PLS

这个程序是关于DOA估计理论中线性预测类算法的MATLAB实现的，具体是基于均匀线阵的双向线性预测算法仿真(This program is MATLAB on DOA Estimation Theory class linear prediction algorithms to achieve, in particular based on bi-linear prediction algorithm simulation of ULA)

说明：  用MA TLAB 语言及MA TLAB 语言编制的优化工具箱进行优化设计具有语言简单、函数丰富、用法比 较灵活、编程效率高等特点. 本文对遗传算法和基于MA TLAB 的遗传算法优化工具箱(GAO T ) 作了简要的介 绍、分析了优化工具函数, 并结合非线性、多峰值函数问题的优化实例, 说明了遗传算法是一种具有良好的全局 寻优性能的优化方法.(MA TLAB with language and language of the MA TLAB optimization toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency. In this paper, genetic algorithm and MA TLAB based on genetic algorithm optimization toolbox (GAO T ) gave a brief introduction, an analysis of function optimization tool, combined with non-linear, multimodal function optimization problem examples to illustrate the genetic algorithm is a good global optimization method to optimize performance.)

DQM法matlab代码，用于求解输液管道的失稳问题，在边界弹簧刚度变化的情况下，给出了临界失稳流速。(DQM method matlab code for solving the instability problem pipes conveying fluid, the spring stiffness in the border cases, given the critical buckling velocity.)

Script for saving a cropped pdf from MATLAB.

通过用MATLAB软件解决七参数转换转换的编程代码(Seven parameter transformation)

用MATLAB实现的基于MFCC特征和VQ量化的说话认识别程序(Realize using MATLAB-based features and MFCC quantization VQ other words awareness program)

说明：  这是一种对遗传算法的Matlab实现，此算法主要应用于求函数的极值。(This is a Matlab implementation of genetic algorithms, this algorithm is mainly used in extreme demand function.)

基础篇介绍基本功能和操作；中级篇介绍编程和数值计算；高级篇介绍仿真(The basis of articles to introduce the basic functions and operations intermediate chapter to introduce programming and numerical computation High chapter introduced the simulation)

自己编的MIMO瑞利衰落子程序，四径，车速20，参数可以修改(Rayleigh fading MIMO compiled its own subroutines, four tracks, speed 20, the parameter can be modified)

极大似然估计是概率论中的重要思想，阅读此文献可以帮助我们了解极大似然估计的含义(Maximum likelihood estimation is important in probability theory thinking, reading this literature can help us understand the meaning of maximum likelihood estimation)