Spatialstructureandchao

用matlab实现的拥有图形化的交互界面，包括矩阵的运用，画图等等。和及格同学一起做的 (Using matlab to achieve the owner of the interactive graphical interface, including the use of matrices, drawing and so on. And a pass to do with my classmates)

基于matlab编写了自然二进制码、折叠二进制码、反射二进制码之间的转换，并使用MatlabGUI设计了人机交互界面。(Prepared based on matlab natural binary code, binary code folding, reflecting the conversion between binary code and use interactive interface designed MatlabGUI.)

复杂网络中社团结构划分算法里比较经典的划分算法的实现，ｍａｔｌａｂ实现的Ａ－ｎｕｔ算法。(Community structure in complex networks in the more classic division algorithm to achieve the division algorithm, matlab algorithm to achieve the A-nut.)

algorithm for moment invariants.

浙大某老师matlab基础课程教材 例子挺多的，复习基础知识有帮助(Zhejiang University course materials based on a teacher matlab example Tingzhi, review the basics of help)

压缩文件中包含五个matlab程序，可用于求解信号与系统常用信号（如双边、单边指数信号、门函数等）的傅立叶变换并图形显示变换结果(compressed file contains five Matlab procedures, can be used for signal and the signal system used (such as bilateral, unilateral index signal gate function) of the Fourier transform and graphics transform results)

数字信号处理离散系统响应的MATLAB程序，对学习系统响应有帮助(some matlab codes for study system respond in diginal signal processing.)

是有关小波分析mallat算法，简便实用(Is related to wavelet analysis mallat algorithm, simple and practical)

DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and transmitted. The JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients, computes the inverse two-dimensional DCT of each block, and then puts the blocks back together into a single image. For typical images, many of the DCT coefficients have values close to zero these coefficients can be discarded without seriously affecting the quality of the reconstructed image. The example code below computes the two-dimensional DCT of 8-by-8 blocks in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients in each block, and then reconstructs the image using the two-dimensional inverse DCT of each block. The transform matrix computation method is used.

最小方差恢复算法，用于恢复图像中未知位置的点像素(Minimum variance recovery algorithm, used to restore the image point of the unknown location of the pixel)