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是学习鲁棒自适应控制的很好的例子,对进一步掌握matlab很有帮助.(learning robust adaptive control of the good examples for further grasp Matlab helpful.)

关于迭代学习的比较好的文章，迭代学习在间歇过程中的控制研究(Good article on the iterative learning)

maltab morlet源代码的使用情况 以及matlab中的指令cwt使用对比情况 (matlab cwt morelet)

基于低秩矩阵恢复的背景建模的目标检测代码(Based on the recovery of low-rank matrix background modeling target detection code)

用matlab进行数字下变频和上变频处理，作为例子，供大家做实验、完成作业使用！(Use matlab for digital down-conversion and up-conversion processing, as an example, for you to do experiments, complete the operation use!)

这是matlab从runlenth code 中译码 并指纹提取的源码 一个m文件 三张 指纹图像文件(This is runlenth code in matlab from the decoding and extracting the source fingerprint of a document m 3 fingerprint image files)

说明：  How to calculate the fitness for different functions with diferrent parameters

K-means聚类算法，用于文件、数据的聚类分析(K-means clustering algorithm for document clustering analysis of the data)

传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)

ecg demo. output the graf of ecg