runcode

基于Matlab GUI的图像的DCT，自由调节压缩率，计算峰值信噪比，并图形化对比还原图像(Matlab GUI for image-based DCT, freely adjust compression rates, the peak signal to noise ratio, and reduction of image contrast graphic)

Image Demosaicing by bilinear interpolation method

均匀介质二维声波数值模拟，采用reynold边界条件。带有公式及参考文献。带有速度模型以及雷克子波函数，解压后直接运行就可以(2D acoustic numerical simulation of a homogeneous medium, using the reynold boundary conditions. With formulas and references. With the velocity model and the the Ricker wave function, and can run directly after decompression)

Simulation of basic circuit eletric

用matlab的图形界面设计写的一个扫雷的小游戏，画面可能较差(Matlab graphical interface design to write a minesweeping game, the screen may be less)

用数字图像处理的方法进行高速公路车流量的统计，在matlab平台上用的事背景差法。(Highway traffic volume statistics, the in matlab platform with the things background subtraction method of digital image processing.)

这是一本关于matlab在数字信号处理上的应用的书，内容完善，希望对大家有用！(This is a book on digital signal processing matlab in the application of the book, the contents of sound, in the hope that useful to everybody!)

摘　要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)

信号处理的码件间干扰的解决问题方法,用盲均衡方法解决问题(Signal processing code pieces to solve the problem of intersymbol interference method, the solution to the problem of blind equalization)

This matlab code for DWT image watermarking