di9zhang

RELIABLE automatic recognition of persons has long been an attractive goal. As in all pattern recognition problems, the key issue is the relation between inter-class and intra-class variability:

说明：  MATLAB实用程序百例，涉及到很多方面的MATLAB源程序，一定有你想要的。(MATLAB utility 100 cases, involving many aspects of the MATLAB source code, there must be what you want.)

何凯明的《Single Image Haze Removal Using Dark Channel Prior》论文中的代码，基于暗原色先验的图像去雾算法，对户外图像去雾有很好的效果(this code is of the paper"Single Image Haze Removal Using Dark Channel Prior",the function is removing haze based on Dark Channel Prior algorithm , having a good effect on outdoor images.)

svd水印算法,运用svd分解来嵌入水印，抗噪性和鲁棒性都很好(svd watermarking algorithm)

直升机的三个姿态角的pid控制算法，matlab中的simulink仿真程序，配合最优pid设计算法，得到很好的控制效果(Three attitude angle of the helicopter pid control algorithm matlab in simulink simulation program, with the optimal pid design algorithm, well controlled)

mppt hill climbing with solar cill model

find similar faces with eigenfaces.

小波去噪程序 缺少数据 数据都是一维的 程序比较简单 望见谅 ( a matlab denoise program )

说明：  这是一个在matlab中调用bioperl函数的算法示例(This is a matlab function to call the algorithm bioperl sample)

当信号采样点数很少时，不能很好的恢复原模拟信号，导致原始信号中的一部分丢失。而当信号的采样点数增多到1024时，其分辨率很好，可以有效的区分信号的信息，当采样点数继续增多时，其恢复为原始模拟信号的精度越高且不丢失原始信号。(When the signal is small when the sampling points can not be good to restore the original analog signal, causing part of the original signal is lost. When the signal is increased to 1024 sampling points, its resolution is very good, can effectively distinguish the signal information, continue to increase when the sampling points, its back to the higher accuracy of the original analog signal without loss of the original signal.)