coefficientcalculating

说明：  该设计实现了在发送端使用卷积编码，接收端采用维特比译码(Convolutional coding, Viterbi decoding)

基于感知器算法的线性分类程序，matlab实现。(Perceptron-based algorithm of linear classification procedures, matlab realize.)

精通MATLAB最优化计算的书籍，精通matlab必读之书(The most proficient in MATLAB Optimization)

小波 王变换——matlab 程序实现。(Wang transform- matlab program.)

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)

这是一个改进的SFLA（混合蛙跳算法），使用MATLAB 实现，代码简单并且实用，欢迎下载。(This is an improved the SFLA (shuffled frog leaping algorithm), using MATLAB to achieve, the code is simple and practical, welcome to download.)

用于粗糙集约简的源程序代码，里面有测试的数据介绍(The source code for rough collection, which contains test data)

说明：  数字图像修复算法的评价标准也是从两个方面进行评价的，一个是修 复算法的效率，一个是修复后图像质量。修复算法的效率主要就是看修复 图像所用的时间，可以用时间就行量化。而图像质量很难从量上唯一的进 行评价，目前图像修复质量还没有统一的评价标准，从实际应用出发，修 复后图像质量的好坏大多数是从以下两个方面就行评价，修复后图像给人 主观上的“满意度”和客观上图像的cnr、enl、epi、psnr、snr来评判。(The evaluation criteria of digital image restoration algorithms are also evaluated from two aspects, one is repair. One of the efficiency of complex algorithm is the image quality after restoration. The efficiency of the repair algorithm depends mainly on the repair. The time spent on the image can be quantified in terms of time. But image quality is difficult to improve quantitatively only. At present, there is no uniform evaluation criterion for image restoration quality. Starting from practical application, repair The quality of restored images is mostly evaluated from the following two aspects, and the restored images are given to people. Subjective "satisfaction" and objective image cnr, enl, epi, psnr, SNR to judge.)

说明：  永磁同步电机模型参考自适应matlab仿真(PMSM model reference adaptive matlab simulation)

给予图像匹配的实现运动目标的跟踪，在MATLAB上可以实现，比较方便易行(Image matching to track moving objects in MATLAB can be achieved, more convenient and easy)