MIMO-OFDM系统信道估计算法研究(LS,LMMSE),对受加性高斯白噪声干扰 MIMOOFDM

matlab 概率统计技术，适合初学者学习(matlab probability and statistics techniques suitable for beginners to learn)

一个用matlab编写的智能控制源程序。自动生成图像。(An intelligent control with source code written in matlab. Automatically generated image.)

MATLAB6.5的基础性教程，里面内容很全，非常适合新手使用(MATLAB6.5 basic tutorial, which are very informative, very suitable for new users)

ELECTROMAGNETIC FINITE-DIFFERENCE TIME-DOMAIN VERSION 1.20, RELEASE 1

大小盘风格轮动策略,本版本暂时选取沪深300作为大盘股指数，中小板指数作为小盘股指数(Size of the disk style rotation strategy, the release time being selected as the CSI 300 index of large-cap stocks, small board index as the small cap index)

其文章包含4个文件:些文件是基于matlab的源程序:P0309：运用5种不同的梯度增强法进行图像锐化P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图P0312利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处(The article contains four documents: these documents is based on the matlab source: P0309: the use of five kinds of different gradient enhanced image sharpening method P0310: Image of high-pass filtering and mask handle P0311: the use of Butterworth (Butterworth) low-pass filter for noise interference by the use of the map P0312 Butterworth (Butterworth) high-pass filter for image sharpening Department)

array processing code for communication engineering(array processing code for communication e ngineering)

This matlab program describes the Nakagami Fading coefficient generation for a Nakagami Fading Channel. The matlab program is written in a clear way and it produces the corresponding simulation result. The same way can be applied for Rayleigh and Rician fading coefficient generation for Rayleigh and Rician fading channels.

MUSIC算法以及运用MUSIC、ESPRIT、GEESE进行非相关源的模拟测向并比较各种算法的性能(MUSIC algorithm performance and the use of MUSIC, ESPRIT, GEESE non-relevant source analog measurement and comparison of various algorithms to)

New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below(New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas- a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below)