XEHQNJX

说明：  计算图像边缘保护指数EPI，需要原始图像与处理后图像(To calculate the EPI, the original image and the processed image are needed)

小波包在信号处理中的应用（信号时频分析、信号消噪、信号压缩）(Wavelet packet in signal processing of the application (signal frequency analysis, signal de-noising, signal compression) )

对于iOS图像旋转，精选ios学习编程源码，很好的参考资料。(For iOS image rotation, selection of learning IOS programming source code, a good reference.)

在matlab平台上实现对医学图像人脑部的分割采用c语言编写(In matlab platform to realize human brain medical image segmentation using c language)

svd图像压缩，程序中使用了三种方法的SVD，包括直接svd，分块svd和小波svd(3 svd comprecessions.)

本代码的主要功能是实现数据格式之间的转换，实用的是IDL代码，好用实用且清晰。(The main function of the code is to achieve conversion between data formats, practical IDL code, good with practical and clear.)

SIFT特征提取 http://www.opencvchina.com/forum.php?mod=viewthread&tid=209&fromuid=267 (SIFT feature extraction http://www.opencvchina.com/forum.php?mod=viewthread& tid=209& fromuid=267)

一种自适应chirplet分解的快速算法 针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (Chirplet an adaptive decomposition algorithm for rapid adaptive signal decomposition Chirplet many unknown parameters, is more difficult to achieve the characteristics of the literature [1] proposed a new fast algorithm Chirplet decomposition. The algorithm calculating the signal function of the second phase, its energy distribution to be concentrated in the signal modulation frequency curve on the conclusions, this time through the spectral peak detection can be obtained simultaneously Chirplet tune the frequency, timing and magnitude of the estimated center then through the solution line technology of FM frequency and the width of the initial estimates, the simulation results verify the effectiveness of the algorithm.)

The focus of this project is to experiment with intensity transformations to enhance an image.

这是一个（原创的）用matlab做成的维纳滤波器程序，可以直接运行，对于初学数字信号处理的各位有不错的帮助。((original) using Matlab caused by Wiener filter procedures, and can directly run for the beginner in digital signal processing you have any good help.)