亲测可用的频偏估计算法matlab例程

基于点的matlab图像配准.提出一种基于小波系数的特征索引算法，实现了图像特征点对的快速搜索和两幅图像之间的匹配(Based on the point of matlab Image Registration. Presents a feature based on wavelet coefficients indexing algorithm to realize the image feature points on the fast search and matching between two images)

这是一个关于机器人的路径算法（vfh算法）在matlab中的仿真。(This is a robot on the path algorithm (Bureau algorithm) in the Matlab simulation.)

这是一种多目标的粒子群优化算法，包含了两个目标函数，对学习粒子群算法及很好的理解该算法非常有用-Examples of niche PSO, 

通信系统仿真,matlab下多载波系统分析(communication system simulation)

简单介绍了RLS算法(递推最小二乘算法)，附带程序能够实现RLS的仿真，并且仿真效果较好。(A brief introduction of the RLS algorithm (recursive least squares algorithm), RLS can be achieved with the simulation program and simulation is better.)

根据查找边缘发二值化图像，确定图形质心的位置。(According Find Edges hair binary image, to determine the location of the centroid graphics.)

2d频域分析Spatial_Waves_in_2D_Frequency_Domain(2d frequency domain analysis Spatial_Waves_in_2D_Frequency_Domain)

脑电信号分析 ，脑电样本熵特征计算，样本熵程序(SmapleEn EEG analysis)

说明：  元学习算法的一种——IDBD算法，实现信道均衡仿真(IDBD, a meta-learning algorithm, realizes channel equalization simulation)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)