biometrie

MATLAB7最常见功能之系统建模与仿真，里面是一些常用命令列表。(The most common MATLAB7 modeling and simulation of the system function, the inside be some common order list.)

matalab生成exe文件的多种方法 很全的啊 可以试试(exe files matalab generated a very wide variety of methods, ah, you can try)

各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.m 用自适应特征阈值函数进行去噪 wdenoise.m 用Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪 meanfilter.m 均值滤波方法进行去噪(对比用) medfilter.m 中值滤波方法进行去噪(对比用)(Denoising procedures for various methods Den1.m using semi soft threshold method for image denoising The improved method of den1_5_1.m semi soft threshold for the first layer of the reconstructed image The improved method of den1_9.m semi soft threshold will be changed linear to exponential. The improved method of den1_10.m semi soft threshold for the first layer of the reconstructed image again for wavelet thresholding denoising Den2.m using the soft and hard threshold function to improve the method of denoising Den3.m using generalized threshold function for denoising Den4.m with adaptive feature threshold function for denoising Wdenoise.m with Donoho threshold or Birge-Massart strategy and soft threshold or hard threshold function for denoising Meanfilter.m mean filtering method for denoising (contrast) Medfilter.m median filtering method for denoising (contrast))

matlab gui中ActiveX控件使用(the introduction of ActiveX in matlab gui)

基于RRT算法的路径规划，算法可用，仅供参考(Route planning based on RRT algorithm is available for reference only.)

能量收集双向中继的联合功率分配的中继选择算法(relay selection method of energy harvesting two-way relay network)

轮廓提取的子程序,matlab编的，有注释(Profile extraction subroutine)

DCT变换，里面很多有用的matlab程序，你会需要的哈(DCT transform, which a lot of useful matlab program, you will need to Kazakhstan)

Gabor filter-based fingerprint recognition algorithm..

一种典型的基于小波变换的图像融合算法实现程序，程序中各部分都有相应说明(A typical program based on wavelet transform image fusion algorithm, every part of the corresponding notes)