baizaos

vblastpic1:tx=2,rx=2时ZF,ZF-SIC,MMSE,MMSE-SICvblastpic2:tx=4,rx=4时ZF,ZF-SIC,MMSE,MMSE-SIC vblastpic3 vblastpic4:MIMO vblastpic6:tx=4,rx=4, vblastpic7ZF-SIC(unordered) vblastpic8: vblastpic9: vblastpic10: vblastpic11:能 vblastpic12:tx=2,rx=2,MMSE-SIC , tx=2,rx=2,ML vblastpic13:tx=2,rx=2,Vblast ML检测 (QPSK调制) vblastpic14:tx=2,rx=2,ZF-PIC检测性能 vblastpic15:tx=4,rx=4,Vblast QR分解检测 vblastpic16:tx=4,rx=4,VBLAST ML检测 (QPSK调制)

说明：  采用最小方差自适应算法作为自校正调节器，控制系统(Minimum variance adaptive algorithm used as a self-tuning regulator, control system)

Plane Stress with body and point loads, T3 triangle XY COORDINATES CLOSED FORM INTEGRALS Change E_e to get Plane Strain

compression using karhunen loeve transform

LMD matlab 程序 局域均值分解，利用滑动平均求的，不是用三次样条(LMD matlab program local mean decomposition, using the sliding average demand, not by Cubic Spline)

张正友的有关三维重建的论文 值得三维重建研究人员好好学习研究(Zhang Zhengyou of the three-dimensional reconstruction of the paper Worthy of three-dimensional reconstruction of the researchers learn)

sharpkml 解析kml的开源项目(sharpkml )

电力系统暂态稳定仿真模型，设置了短路类型，绘制转速和功角曲线，可分析发电机转速和功角特性，可以设置不同的系统参数和短路类型。(Power system transient stability simulation model, set a short-circuit type, draw speed and power angle, generator speed and power angle characteristics, you can set different system parameters and fault types.)

计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行后续处理。此次课题的完成采用的是比较常见的数学软件matlab，其具有强大的工具箱。对处理图像这块具有很广泛的支持。(Computer vision and video image processing is one of important research in the field of video moving object detection, whether in the domains of pattern recognition and image understanding has special significance. Moving target detection is to extract video moving object in successive frames, the image is divided into foreground and background. Moving target detection algorithm for subsequent movement target classification, target tracking and analysis provides the basis. This paper tells the story of several common video moving object detection algorithm, and to the study on the background difference method, through the two methods to contrast the characteristics of the finite difference method. The background difference method algorithm is the main process is: the video capture, video into image sequence and image grayscale processing, remove noise, difference image, for subsequent processing images. The completion of this subject is the more common mathematical software matlab, whi)

单用户能量检测，对多种信号的检测对比，频谱检测的基础。(Single-user energy detection, contrast detection of a variety of signals, the basis of spectral detection.)