Water

不使用matlab库函数,实现图像的直方图均衡化,并且显示灰度变化的函数曲线(Do not use library functions to achieve the image histogram equalization)

本程序实现了哈夫曼编码，可以应用在图像处理中压缩图像，属于无损压缩！(huffman)

说明：  用新的参数估计方法对正态分布的delta和α进行更为准确的估计。(With a new method of parameter estimation of the delta-normal distribution and α for a more accurate estimate.)

bpskspread 在MATLAB中应用到(bpskspread in MATLAB application to)

Markov随机场的例子程序,对于初学MRF的人很有用,能得到直观的印象(Markov random sample program, for the beginner who MRF useful to get an intuitive impression)

matlab写的蛇形算法，效果很好，内附图片，通过改变输入的图像运行自己的程序。( snake algorithm with matlab , works well.)

利用容积卡尔曼滤波器写的一个滤波程序，完美运行(A filtering example that uses the cubature Kalman filter)

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).)

水下通信环境下，4FSK调制解调代码及bin文件,(4FSK modem code and the bin file)

laplacian of gaussian test