matlab

暂时只支持jpeg2000支持的 cdf97 和spline53 可以这样来测试： x=imread( E:studyjpeg2000imageslena.tif ) ％ see the decomposition coefficients y=wavelift(x, 1, spl53 ) using spline 5/3 wavelet figure subplot(1,2,1) imshow(x) subplot(1,2,2) imshow(mat2gray(y)) ％ see the reconstruction precision yy=wavelift(x, 5) using cdf 9/7 wavelet ix=wavelift(yy,-5) inverse sum(sum((double(x)-ix).^2)) (only temporary support jpeg2000 support cdf97 and spline53 this can be measured Examination : x = imread (E : study jpeg2000 images lena.tif)% see the d ecomposition coefficients wavelift y = (x, 1, spl53) using spline 5/3 wavelet figure subplot (1,2,1) imshow (x) subplot (1,2, 2) imshow (mat2gray (y))% see the reconstructi on precision wavelift yy = (x, 5) using cdf 9/7 wavelet ix = wavelift (yy.-5) inverse sum (sum ((double (x)- ix). ^ 2)

reti based on color

用罗曼三性编码方法对图形进行编码，matlab源程序。(With the Roman three coding methods to encode graphics, matlab source code.)

IMC-PID是利用内模控制原理来对PID参数进行计算，本程序的性能已经达到较高水平，部分实现了追踪测速迭代松弛算法。( The IMC- PID is using the internal model control principle for PID parameters is calculated, The performance of the program has reached a high level, Partially achieved tracking speed iterative relaxation algorithm.)

matlab program that read an image and shows its 2d fourier spectrum

说明：  介绍云计算与云存储，简述云存储运用实例，对比分析云存储搭建架构，展现云计算与云存储应用现状，为建立云存储提供帮助(Introduction cloud computing and cloud storage, cloud storage application of brief examples, comparative analysis of architecture cloud storage structures, to show cloud computing and cloud storage application status, helping to build cloud storage)

无边界主动轮廓模型的matlab实现，对一些简单图像具有很好的分割效果(Borderless active contour model matlab realize, for some simple image with good segmentation results)

Make sure that all structs defined in this file remain laid out so that they pack the same way on 32-bit and 64-bit architectures (to avoid incompatibility between 32-bit userspace and 64-bit kernels).

聚类的一个工具箱 挺好用的 ，推荐大家用一下(the clustering toolbox， it is very useful)

大学实验，matlab 信息论与编码，信道容量计算，数字信号处理初级课程。(University of experiments, matlab information theory and coding, channel capacity, digital signal processing primary curriculum.)