Kalman-excute

使用matlab编写的bayes分类器，朴素贝叶斯分类器(Prepared using bayes classifier matlab)

bubble migrating code

fisher分类法的matlab实现，包含训练与测试部分。(fisher classification matlab implementation, including training and testing parts.)

MATLAB教材学习资料matlab的90个实例matlab的90个中的6-10 更新继续中(matlab studying)

维纳滤波器和一般滤波器的设计以及信号通过滤波之后的比较(Wiener filter and the general filter design and the comparison signal after filtering)

车牌图像的初步预处理，实现彩色图像灰度化，输出背景图像，输出黑白图像(Initial license plate image preprocessing, color image graying, output background image, bitonal image)

Channel Estimation in Wavelet Transform using Harr filter (4-levels)

应用matlab语言，实现的蒙特卡洛算法，计算速度快(The Monte Carlo algorithm implemented in MATLAB language.)

说明：  在matlab上实现LT喷泉码仿真功能，其中喷泉码解码方式包含高斯消元(realize the simulation of LT fountain code)

This MATLAB code is an example of how to train the GCRF model described in "Learning Gaussian Conditional Random Fields for Low-Level Vision" by M.F. Tappen, C. Liu, E.H. Adelson, and W.T. Freeman in CVPR 2007. If you use this code in your research, please cite this paper