Matlab6

image processing using matlab book

基础的matlab程序，适合初学人员，多读多练，我觉得很好(Matlab-based program, suitable for novice staff, and more time practicing, I feel good)

两个图像融合的matlab源代码，本人测试可用，特跟大家分享(A different image fusion matlab source code, I test available, especially to share with you)

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

matlab GUI编程示例，是Fourier－Mellin变换算法的图像匹配程序，非常实用。(Matlab GUI programming paradigm is the Fourier- Transform algorithm Mellin image matching procedures, very practical.)

simulation Monte Carlo 1d

Communication system

this program is designed for solving the two dimensional photonic structure

CVPR 2014上的关于图像显著性区域的检测matlab代码。(Wangjiang Zhu, Shuang Liang, Yichen Wei, and Jian Sun. Saliency Optimization from Robust Background Detection. In CVPR, 2014.)

使用Matlab软件工具，计算经典Music算法中的RMSE数据(A way to get the RMSE of classical Music mathod with Matlab tools.)