A-Guide-to-MATLAB-for-Beginners

MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems.

计算Lyapunov指数的Matlab程序，主要是二维Henon映射的Lyapunov指数的计算 (Matlab Lyapunov index calculation procedures, mainly two-dimensional Henon map of the Lyapunov index calculation)

用MATLA实现机器学习中的批处理梯度下降法和随机梯度下降法(Batch gradient descent method and stochastic gradient descent method in machine learning using MATLA)

胡广书著的《现代信号处理教程》一书的例子的源码。都是Matlab程序。(HU Guang-forward to the book " Modern Signal Processing Guide," one example of the source book.)

MATLAB神经网络工具箱的介绍 是一篇很好的论文 介绍的很详细 (MATLAB neural network toolbox is a good introduction to the papers described in great detail)

说明：  介绍求解TSP 问题的蚁群算法，是解决旅行售货员问题的一种比较好的方法(Introduced to solve the ant colony algorithm for TSP problem is to solve the traveling salesman problem of a better way to)

gentleboost 算法的实现，其主要用在分类与boost和adaboost稍有不同(gentleboost algorithm, which is mainly used in classification and boost and slightly different adaboost)

直线阵进场聚焦波束形成算法，三维作图，伪彩图作图(Linear array approach focused beamforming algorithm, three-dimensional mapping, pseudo-color mapping)

重要的模拟程序，模拟精度很高，值得大家好好参考，好好学习一下(Important simulation, the simulation accuracy is high, is worth a good reference to learn about)

KPCA 的基本思想是将数据从输入空间映射到高维特征空间,然后在特征空间利用线性主成分分析方法计算主成分。本程序是KPCA的源程序，可实现调用。对于初学者或许有帮助。(The basic idea of KPCA is to map the data from the input space to high dimensional feature space, then in the feature space using principal component analysis method to calculate the linear principal components. This program is the source KPCA can achieve call. May be helpful for beginners.)