Signal

filter gabor, digunakan di matlab

it is binary ga algorithm in matlab

基于matlab的小波分析，，，关于图像拼接的源码，， 共勉(Matlab wavelet analysis, source code, image stitching,)

关于matlab的一篇很有用的文章，数学建模学习的必备啊！(on Matlab a very useful article, the study mathematical modeling required ah!)

This is an intuitive sudoku solver in matlab.

matlab code for bam.easy to understand and good to know.found it difficult to make but finally got it.thank you

estimate the rician K factor

计算机视觉：让冰冷的机器看懂多彩的世界 科学人，附有原作者的matlab代码(Computer Vision: Let the cold machine read the colorful world of science people)

cx_3 lpp source code with many examples

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)