How-a-Brushed-DC-Motor-works

用于mimo的matlab程序，主要是检测算法，非常有用，大家可以多用用(The matlab program for mimo, mainly detection algorithm, is very useful, we can multi-purpose use)

DG placement in a 33-bus distribution power system using data envelopment analysis technique considering voltage profile, reliability, power loss and cost.

说明：  这是一份高斯光束的轴向光强分布模拟程序，可以模拟高斯光束的光强以及其他光束(This is a simulation program of the axial intensity distribution of Gaussian beams, which can simulate the intensity of Gaussian beams and other beams)

说明：  基于MATLAB的图像读取程序源码----针对PGM文件的读取(MATLAB code of read PGM image )

the graphs where you can find how the function looks like - sinus

condensation code for tracking multiple people based on bayesian framework

MATLAB之GUI教程,GUI为使用者提供良好的交互界面，使编程更清晰(the book describes how to use the GUI)

GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For an account of various methodologies as well as some of potential applications, the interested reader is referred to [1, 2] and the nice collection of papers [5].(GloptiPoly 3: moments, optimization andsemidefinite programming.Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem ofMoments (GPM), an infinite-dimensional optimization problem which can be viewed asan extension of the classical problem of moments [8] . From a theoretical viewpoint, theGPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to citea few. In addition, and despite a rather simple and short formulation, the GPM has alarge number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For anaccount of various methodologies as well as some of potential applications, the interestedreader is referred to [ 1, 2] and the nice collection of papers [5].)

remote sensing image fusion based on Brovey transform on matlab

to help in computer vision ,pattern recognition and machine learning research for grad students in image analysis and computer science works of masters and doctorate