bianjietiaojian

one-to-all communication on mesh topology

说明：  状态空间模型　加强ＭＡＴＬＡＢ学习　很有用的 (state-space model to strengthen MATLAB very useful learning)

本人收藏的经典图像小波算法，matlab写的，可以参考哦(collection of classic images wavelet algorithm, written in Matlab, reference oh)

说明：  基于kpca以及pca,pls,流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单(Based on kpca and pca, PLS, manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is simple )

sound recognition code matlab

matlab搭建的两质量轴系模型，风机中不可或缺的模块(Matlab build two quality system model, the wind machine in an integral module)

本程序是介绍关于先进的控制算法-自适应动态规划的，采用迭代的方法进行控制器的设计。(This procedure is introduced on the advanced control algorithm- adaptive dynamic programming, iterative methods for controller design.)

电梯群控系统的仿真，顾客的到达服从泊松流分布，上行还是下行是随机的，层数也是随机的，matlab仿真，有输出数据(Elevator group control system simulation, the customer' s arrival Poisson distribution flow, the upstream or downstream is random, the number of layers is random, matlab simulation, the output data)

图像篡改检测与修复 但是修复可以雷同 请自己对比修改(it is a program a usefull program)

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)