2-bwlableing_filter

说明：  均匀线阵情况下的，相干信号的产生，并不是入射后的信号，而是原始的相干信号，希望各位不会搞错(Uniform linear array case, the coherent signal generation, not the signal after the incident, but the original coherent signals and hope that will not be wrong)

说明：  一是讲述MATLAB正常运行所必须具备的基础条件；二是简明系统地介绍高度集成的Desktop操作桌面的功能和使用方法。(One is about the normal operation of the MATLAB must have the basic conditions Second concise introduction to a highly integrated system Desktop operating desktop features and applications.)

先进PID控制Matlab仿真(刘金琨编)第4版-仿真程序 全书分17章，包括基本的PID控制、PID控制器的整定、时滞系统PID控制、基于微分器的PID控制、基于观测器的PID控制、自抗扰控制器及其PID控制、PD鲁棒自适应控制、专家PID控制和模糊PD控制、神经网络PID控制、基于差分进化的PID控制、伺服系统PID控制、迭代学PID控制、挠性及奇异摄动系统的PD控制、机械PID控制，以及其他控制方法的设计。每种方法都给出了算法推导、实例分析和相应的MATLAB仿真设计程序。(Advanced PID Control matlab simulation (edited by Liu Jinqi) - 4th Edition - simulation program The book is divided into 17 chapters, including basic PID control, tuning of PID controller, PID control of time-delay system, PID control based on differentiator, PID control based on observer, ADRC and its PID control, PD robust adaptive control, expert PID control and fuzzy PD control, neural network PID control, PID control based on differential evolution, PID control of servo system and iterative PID control. The design of PD control, mechanical PID control and other control methods for flexible and singular perturbation systems. Each method gives the algorithm derivation, case analysis and corresponding MATLAB simulation design program.)

比较详细的粒子群算法例程，注释比较明白，好用(More detailed particle swarm optimization routines, notes to understand more, easy to use)

amplitude modulation matlab simulation code

提供完整SVM工具包，可供大家进行数据分类处理(provide a complete SVM code)

基于matlab的水准网平差程序基于matlab的水准网平差程序基于matlab的水准网平差程序 水准网平差 解压文件 并运行leveling.m(Matlab network adjustment based on the standard procedures based on the standard network adjustment program matlab matlab-based standards of quality network adjustment program extract the files and run network adjustment leveling.m)

Univariate method optimization theory

说明：  EMD matlab实现代码，可以直接用。经验模态分解（Empirical Mode Decomposition，EMD）是由 Huang等人于1998年提出的一种针对非线性、非平稳信号的自适应信号分解算法。(Empirical Mode Decomposition (EMD) is an adaptive signal decomposition algorithm for non-linear and non-stationary signals proposed by Huang et al. in 1998.)

通过matlab编程对槽轮机构进行运动分析，计算出其运动参数。(Matlab programming by agencies of the grooved wheel motion analysis, calculate its motion parameters.)