matlab111

exercice for matlab code in machine learning

说明：  利用wolf法求取Lyapunnov指数，并绘制图形(Method used to obtain Lyapunnov wolf index, and draw graphics)

ALO optimization Matlab code

说明：  Matlab数据挖掘分析与实战教程，包括matlab基础知识与机器学习算法，实战部分包含10大具体实例及讲解(Tutorial of Matlab data mining analysis)

说明：  4节点系统的matlab潮流编程的模板，希望对初学者有帮助。(power flow programming )

MATLAB车牌识别源代码,识别常用的车牌，确认车辆类型(License plate recognition source code)

Field 2 是丹麦理工大学（Technical University of Demark）的J.A.延森（Jorgen Arendt Jenson）开发的一款超声模拟软件，该软件基于线性声场理论， 其最基本概念是空间冲击响应，最早由Tupholme和Stepannishen等提出，空间冲击响应是一个和何置相关的函数，它与换能器上的激励信号卷积，可以得到发射波到焦点的任意一点的声场。换能器接收同波信号相当与发射的逆过程，将空间的反射点作为发射源，与接收换能器的空间冲击响应卷积，从而得到回波信号。(Field 2 is the Technical University of Denmark (Technical University of Demark) is an ultrasound simulation software JA Jensen (Jorgen Arendt Jenson) developed the software based on the linear sound field theory, the basic concept is the spatial impulse response, first by Tupholme and Stepannishen and other proposed space impulse response is a home-related functions and what its convolution with the excitation signal transducer, you can get any of the transmitted wave to the focal point of the sound field. Wave transducer receives a signal corresponding with the inverse process of transmission, the reflector point in space as a transmission source, and the receiving transducer spatial convolution of the impulse response, thereby obtaining the echo signal.)

用Matlab实现重叠保留法计算循环卷积的程序实例，课堂上完成的，希望有用(Using Matlab to achieve overlapping reservation method to calculate cyclic convolution procedure example, the completion of the classroom, and I hope useful)

说明：  工程实际中的许多优化问题是多目标的优化设计问题。通常情况下多个目标是处于冲突状态的,不存在一个最优设计使所有的目标同时达到最优,一个目标性能的改善,往往以其它一个或多个目标性能的降低为代价。无论采用自适应遗传算法还是其它在标准遗传算法基础上经过改进的遗传算法,如果采用加权组合法等将多目标转化为单目标的处理方法,就无法充分发挥遗传算法的优势。如果把遗传 算法与适用于多目标处理的几此协方法相结合,就能完全发挥遗传算法在多目标优化设计中的作用。(Many optimization problems in engineering practice are multi-objective optimization design problems. Generally, multiple goals are in conflict. There is no one optimal design to achieve all goals simultaneously. The improvement of one goal's performance is often at the expense of the performance of one or more other goals. Whether adaptive genetic algorithm or other improved genetic algorithm based on standard genetic algorithm is adopted, if weighted combination method is adopted to transform multi-objective into single-objective processing method, the advantages of genetic algorithm cannot be fully utilized. If the genetic algorithm is combined with several cooperative methods suitable for multi-objective processing, the role of genetic algorithm in multi-objective optimal design can be fully exerted.)

锁相环（PLL）simulink仿真，加深对PLL的理解(Phase-locked loop (PLL) simulink simulation, to deepen understanding of the PLL)