LDPC-code-theory-and-applications

pca特征提取子程序，毕设用的，算法优化非常好，几乎没有循环，相当节省时间，堪称经典，运行绝对正确！！(pca feature extraction subroutine, used to complete set up, very good algorithm, almost no circulation, saving considerable time, classic, run absolutely right! !)

图像变换 将图象分块(8*8)，作DCT变换，并作IDCT：DCT是一种可分离图象变换，用来图象压缩编码，IDCT用来解压缩(Image transform to image sub-block (8* 8), for the DCT transform, and IDCT: DCT is a separable transform image to image compression coding, IDCT used to extract)

由多光谱图像的3个波段构成的RGB分量经IHS变换后，可将图像的空间特征(，)和光谱特征(H、S)分离(From multi-spectral image consisting of three-band RGB components by the IHS transform, may be characteristic of the image space (,) and spectral characteristics of (H, S) Separation)

MFC中实现，简单的photoshop，包括图像灰度化，边缘检测，旋转，反色等等功能。(MFC to achieve simple photoshop, including gray image edge detection, rotation, anti-color and more.)

说明：  lowe论文的sift算法的MATLAB源代码(MATLAB source code of sift algorithm for lowe paper)

计算二维图像的分形维数,将彩色图像灰度处理，然后转换成二值图 进行分形维数计算(calculate the fracture dimensions of the picture)

Doris整个工程文件，包括利用Doris进行影像配准，干涉图生成，DEM生成，是对SAR影像干涉处理的绝佳代码(Doris whole project documents, including the use of Doris for image registration, interferogram generation, DEM generation, is an excellent SAR image processing code for intervention)

1.本程序主要处理BMP位图。 2.为了方便读者学习，程序各步骤都被拆分开实现了，通过点击相应按钮可以看到每个步骤处理的结果。 3.如果是进行人脸识别，需要先打开一幅位图依次进行“人脸检测与定位”操作和“人脸特征标注”操作，然后再打开需要比较的第二幅位图，也是依次进行所有操作，最后进行识别以区分先后两个人脸。(This procedure deals mainly with BMP Bitmaps. 2. In order for the reader to learn, each step of the program is split and the results of each step can be seen by clicking the appropriate button. 3. In the case of face recognition, it is necessary to open a bitmap for "face detection and location" and "face feature tagging" in turn, then open the second bitmap to be compared, and then perform all the operations in turn, and finally identify to distinguish two faces in succession.)

基于DCT变换的图像压缩matlab实现（附测试图）(DCT-based image compression transform matlab realize (with the test chart))

JPEG图像压缩编码原代码。用matlab开发。(JPEG image compression coding the original code. Using matlab development.)