DS1643

matlab 编写的柱面投影算法，验证过，很实用，很简洁，用于图像的拼接实验开发。图像处理的研究人员和学生都可以使用。(Cylindrical projection algorithm, matlab written verification, very practical, very simple, for the development of image splicing experiment. Image processing researchers and students can use.)

adaboost算法的一个简要编程,对于训练算法能有一个很好的初步指导作用(AdaBoost algorithm is a brief program for the training algorithm can have a good initial guide)

Implement the O(1) Bilateral Filter with Constant Spatial filters and a Gaussian range filter

This is the Multi task BCI Code including mt_gauss, mt_regression and test_err_linreg.

说明：  k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)

数字信号处理实践方法（第2版）书中有关的代码，很有实用价值(Digital signal processing practices (2nd Edition) book-related code, and very practical value)

The Iterative Solutions Coded Modulation Library is free software you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation either version 2.1 of the License, or (at your option) any later version. This code includes a lot of different codes : UMTS, LTE, Wimax CTC, capacity, Srandom, puncturing, DVBRCS,DVBS2S,CDMA2000,...

gps算法。包含有时间转换，卫星位置计算。卡尔曼滤波，单点定位等算法。(gps algorithms. It includes Timeshift, satellite position calculations. Kalman filter, single point positioning algorithm.)

极值分布的参数的极大似然估计，并绘图比较(Extreme value distribution parameters of maximum likelihood estimation, and drawing comparison)

Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.