haar

说明：  实现传统单透镜成像，这里有一步衍射，也有两步衍射。此外给出了相关书籍，仅供参考。(Realization of traditional single lens correlation imaging)

很好的解析bmp图片的源代码，很不错的初学者的例子，换页大家下载(Very good analytical bmp image of the source code, it is a good example for beginners, for everyone to download page)

用于读取IGES文件(IGES files for reading)

对一维信号，用正交重叠变换做DCT和逆DCT(Of one-dimensional signals, using orthogonal lapped transform DCT and inverse DCT to do)

一个读取DXF文件的工具，有示例，有源代码，对某些需要与Autocad进行图形学接口编程的朋友有十分重要的工具，我可以千般辛苦找来的。(a read DXF files tools, example, the active code, certain needs and Autocad graphics interface for programming and friends very important tool, I can offer all kinds of hard to find.)

Iris数据集，计算协方差矩阵和相关系数矩阵和kl变换(The goal of this programming experiment is to: Calculate the covariance matrix and the correlation coefficient matrix of the Iris data set. Perform the Karhunen-Loeve transform on this data set.)

说明：  考虑DCT阈中量化效应，采用8X8的DCT模板，选择量化步长，结合缩放因子进行图像压缩。(Considering the quantization effect in DCT threshold, we use the 8X8 DCT template, select the quantization step, and combine the scaling factor to compress the image.)

说明：  这个是数字图像处理的算法原理介绍，讲的非常仔细，很好，是中文版。冈萨雷斯出的大作(This is the principle of digital image processing algorithm, speak very carefully, very good, is the Chinese version. Gonzalez's masterpiece)

电压跌落是最严重的动态电能质量问题之一， 精确定位电压跌落起止时间是应对电压跌落问题的 重要前提和基础。由于电压采样信号往往有噪声分 量，现有的方法在定位电压跌落的起止时间时存在 局限性。本文提出利用多小波变换及相邻系数去噪 的电压跌落定位方法。多小波兼有对称性、正交性、 有限支撑性和二阶消失矩等优异的信号处理性能， 利用GHM多小波可以准确定位电压跌落起止时间。 多小波变换系数在每层之间具有对应关系，多小波 相邻系数将紧相邻的若干个系数作为一个整体来确 定阈值，考虑了系数之间的相关性，能获得更好的 去噪效果。通过 Matlab 进行仿真验证，仿真结果表 明，所提出的方法的正确性。 (Voltage sag is one of the most serious dynamic power quality problems. Critical start-time and end-time are important indices for voltage sags. But the sampling signals often have noisy component, the locations of start-time and end-time are hard to get. Wavelet is an effective tool for those non-stationary signal processing and has been used in this field. Local feature in the signal can be enlarged after the transformation using the scalar wavelet. But scalar wavelets cannot contain orthogonality, symmetry, compact support and higher order of vanishing moments simultaneously. In this thesis, multi-wavelets GHM is used to detect and locate power quality disturbances. Multi-wavelets offer many excellent properties such as the same approximation order but more compact support. The dependence of the multi-wavelets coefficients varies with the level, so neighboring coefficien)

UCLA一个博士生Andrea Vedaldi编写的SIFT算法(A doctoral student named Andrea Vedaldi of UCLA wrote this SIFT algorithm code)