编译通过的用混合粒子群算法求解TSP问题集合程序

说明：  对图像进行细化和提取骨架操作，还是那句话，绝对原创(read an image and proccessed with matlab to get its skeleton and the result of thin)

说明：  数字滤波设计，包括有限冲击响应和无限冲击响应滤波器设计(digital filter design, including finite impulse response and infinite impulse response filter design)

Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley.

Power Electric Sampple FACTS - Modelling and Simulation in Power Networks

网上复制了一个BP预测的程序自己改了一下，效果不是很好。 P 和T都是往期的数据(Online copy of a program his BP forecast changed a bit, the effect is not very good. P and T are the data to the period)

本程序通过SVD可以很好实现lyapunov指数计算，便于理解，且速度和精度较高(lyapunov exponent by SVD)

ImageM integrates into a GUI several algorithms for interactve image processing and analysis. It allows to load images, apply filtering and/or segmentation, and run basic analyses. Interface is inspired the open source software ImageJ . To install, simply unzip, and add the path containing the +imagem directory. The application can be launched by typing: ImageM( rice.png ) (or any other image provided with the image processing toolbox). The development of ImageM started as a proof of concept for creating GUI dedicated to image processing. After adding several tools and options, I thought it could be useful to others, and maybe be used as an example of gui development. ImageM relies on the image processing toolbox and on the GUI Layout Toolbox. Most algorithms are wrapped into a specific Image class that allow to process in a unified way grayscale, binary and color images, 2D or 3D, and that can be used independently.

mascara binaria y filtrado

针对电机的变压调速系统的变转速调压的simulink模型(The variable voltage speed control system for motor variable speed regulating the simulink model)

topsis法是评价类模型中的常用方法。TOPSIS法根据有限个评价对象与理想化目标的接近程度进行排序的方法，是在现有的对象中进行相对优劣的评价。TOPSIS法是一种逼近于理想解的排序法，该方法只要求各效用函数具有单调递增（或递减）性就行。TOPSIS法是多目标决策分析中一种常用的有效方法，又称为优劣解距离法。程序实测可用