Channel-estimation-LS-MMSE

matlab初学者对于绘图的基本程序，比如画饼图，线图，向量图，瀑布图等基本绘图基础程序。(matlab for beginners a basic drawing program, such as yourselves chart, line graph, vector, waterfall and other basic drawing foundation program.)

说明：  Hardware book for students

IEEE power system 57 bus data

《智能控制》第二版（刘金琨著）程序源码第四章(" Intelligent control" , Second Edition (Liu Jinkun a) program source code Chapter)

机器人协同控制流函数matlab程序实现(Cooperative robot control program stream function matlab)

利用投影重建算法从几幅2维图像中恢复三维立体图(Restorate three-dimensional map from two-dimensional images using projection reconstruction algorithm )

数字电视的主要测量技术指标 星座图 QAM调制(dtv test stand)

MATLAB图像分割提取算法源代码（示例车牌识别）(MATLAB image segmentation algorithm for extracting the source code (sample plate recognition))

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].)

用matlab编写BP神经网络实现数据信号分类，本例为语音信号分类(BP neural network with matlab write data signal classification, classification of speech signal in this case)