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MATLAB阵列信号处理工具箱DBT2-21 (MATLAB array signal processing toolbox DBT2-21)

In control theory and stability theory, root locus analysis is a graphical method for examining how the roots of a system change with variation of a certain system parameter, commonly a gain within a feedback system. This is a technique used as a stability criterion in the field of classical control theory developed by Walter R. Evans which can determine stability of the system. The root locus plots the poles of the closed loop transfer function in the complex s-plane as a function of a gain parameter.

基于matlab的摄像机标定代码，精度很高，可直接用于程序。(Camera Calibration Based on matlab code, high precision, can be used for procedures.)

模糊滑模控制实例 让你更了解模糊滑模控制器设计(Fuzzy Sliding Mode Control instances more about fuzzy sliding mode controller design)

matlab使用教程，是《21 世纪全国应用型本科电子通信系列实用规划教材》。包含：第1 章 MATLAB简介；第2章 MATLAB语言基；第3章 MATLAB数值运算；第4章 结构数组与细胞数组；第5章 MATLAB 符号运算；第6章 MATLAB 程序设计；第7章 MATLAB 数据可视化；第8章 交互式仿真集成环境 SIMULINK；附录 MATLAB 上机实验(Using matlab tutorial is " 21st Century electronic communications nationwide series of application-oriented practical planning materials." Contains: Chapter 1 Introduction MATLAB Chapter 2 MATLAB language group Chapter 3 MATLAB numerical computation Chapter 4 array of structures and cell arrays Chapter 5 MATLAB symbolic computation Chapter 6 MATLAB programming Chapter 7 MATLAB data visualization Chapter 8 interactive simulation integrated environment SIMULINK Appendix MATLAB on experiments)

说明：  三种短时傅里叶变换的逆变换，可以正常使用(Inverse transform of short time Fourier transform)

大气波导环境下电波传播预测，基于抛物方程法模型的matlab程序；pe_tropos_ducting.m。(Wave propagation forecast in atmospheric ducting enviroments, based on the parabolic equation model matlab program:pe_tropos_ducting.m.)

type2 fuzzy toolbox matlab

非常好的matlab GUI开发经验。 一. 基本知识： 二. Matlab的I/O文件操作使用技巧和总结: .......(Very good matlab GUI development experience. One. Basic knowledge of: the Second. Matlab' s I/O file operations using the techniques and concluded: .......)

Often we are interested to see how the adaptation of the coeffi cients works or how the error behaves over time. Therefore we need the function [y,e,c]=lms2(x,d,N,mu) which provides us more output arguments