hybrid-PSO-based-on-TSP

说明：  这本书里面记载了MATLAB中常见的80个问题，并都有详细的解答(This book was written by MATLAB 80 common questions and answers are detailed)

采用分层的前推回代法应用于n节点的电力系统，收敛速度快，准确度高，电力系统配电网潮流计算。(Layered forward and backward substitution method used in the power system of n nodes, the convergence speed, accuracy, power system with the power flow calculation.)

Program will calculate the region of interest with free hand sketch and the selected will be shown

说明：  利用PSO算法对PID参数进行整定并画图，matlab程序，测试过可以使用(Using PSO to adjust and draw the parameters of PID)

基于matlab，针对调幅AM、调频FM和调相PM信号，分析在不同的噪声环境，包括高斯白噪声、色噪声、非高斯噪声及正弦干扰中，各种信号的二阶循环谱。可根据需要改变程序中信号或噪声环境，分析结果。(Based on matlab, AM for AM, FM FM and PM phase modulation signals, analysis of noise in different environments, including Gaussian white noise, colored noise, non-Gaussian noise and sinusoidal interference, the various second-order cyclic spectrum signals. May need to change the process in accordance with the signal or noise environment, the results of the analysis.)

二阶线性切换系统稳定切换律的设计与仿真的源程序 (Second-order switched linear system is stable and the design and simulation of switching law)

simulink ODE first order example

This function calculates the airfoil coordinates using Sobieski s relationships parameters. The coordinates are stored in a .dat file

The main idea behind this book, and the incentive for writing it, is that strong connections exist between adaptive filtering and signal analysis, to the extent that it is not realistic—at least from an engineering point of view—to separate them. In order to understand adaptive filters well enough to design them properly and apply them successfully, a certain amount of knowledge of the analysis of the signals involved is indispensable. Conversely, several major analysis techniques become really efficient and useful in products only when they are designed and implemented in an adaptive fashion. This book is dedicated to the intricate relationships between these two areas. Moreover, this approach can lead to new ideas and new techniques in either field.

Detect face parts in real time using Matlab.