AreaI

XYZ to UPV color space XYZ to UPV color space XYZ to UPV color space

matlab多变量控制的另一个工具箱，对控制的学者有用。(Another multi-variable control matlab toolbox, useful for the control of scholars.)

说明：  MATLAB实现的直接传输通信的统计误码率仿真。(MATLAB realization of the direct transmission of communication statistics BER simulation.)

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. The algorithm is patented in the US the owner is the University of British Columbia.

研究在最佳时空信号处理情况下，连续脉冲合成孔径侧视雷达天线的方向图(study in the radiation pattern of a coherent pulsed radar station side scan at optimum processing of the observed space-time signal.)

Channel estimation techniques for OFDM systems based on a pilot arrangement are investigated. Channel estimation based on a comb type pilot arrangement is studied through different algorithms for both estimating the channel at pilot frequencies and interpolating the channel. Channel estimation at pilot frequencies is based on LS and LMS methods while channel interpolation is done using linear interpolation, second order interpolation, low-pass interpolation, spline cubic interpolation, and time domain interpolation. Time-domain interpolation is obtained by passing to the time domain by means of IDFT (inverse discrete Fourier transform), zero padding and going back to the frequency domain by DFT (discrete Fourier transform). In addition, channel estimation based on a block type pilot arrangement is performed by sending pilots in every sub-channel and using this estimation for a

本书讨论了时间域、频率域、数字域、调制域电子测量的主要方法, 介绍了应用MATLAB仿真的方法实现电子测量中的信号源(含VCO和PLL)、示波器、频谱仪、瀑布图仪、相位仪( This book discusses the main method of time domain, frequency domain, the digital domain and modulation domain of electronic measurement, introduces the application of MATLAB simulation method to realize measurement of electron source (including VCO and PLL), oscilloscope, spectrum analyzer, waterfall meter, phase meter )

说明：  本文以室内、外不同空间的人数统计为背景，研究基于图像的人员计数技术，对某时段内进出摄像机视野中指定区域的人数，或指定区域内在景人数进行统计。主要研究内容有以下几点： （1）人员计数方案论证：本文分析对比了不同人员计数算法，研究分析了基于像素、 基于Hough变换的人员计数算法的优缺点。 （2）基于像素统计的人员计数系统实现：①分别采用近似中值背景模型和高斯混合背景模型提取前景图像；②采用基于HSV颜色空间变换的方法对前景中的阴影进行抑制；③用前景像素数除以人数得到一个人的像素平均值，在已知图像中前景像素数的情况下，可对人数进行估计。 （3）基于Hough变换的人员计数系统实现：①根据人头顶部轮廓近圆的特征,采用Sobel算子提取图像边缘,得到目标轮廓；②设置人员检测计数区，利用Hough变换进行圆检测；③对目标进行跟踪，并且进行有效性判断，记录有效目标；④判断行人是否跨线及跨线方向，实现过往行人的双向人数统计，并对人头进行标记。 (In this paper, indoor outside the different number of spatial statistical background image based on studies of people counting technology, the number of designated areas within some period of time and out of the camera view, the number of designated areas or inner view statistics. The main contents are as follows:       (1) people counting demonstration program: In this paper compares different people counting algorithm analysis based on pixel count algorithm based on the advantages and disadvantages personnel Hough Transform.       (2) based on pixel count of people counting system achieve: ① were used to approximate the value of the background model and a Gaussian mixture background model extraction of the foreground image ② the method of the HSV color space conversion based on the foreground shadow suppressed ③ foreground pixels divided by the average number of pixels to obtain a person s image at a known number of pixels in the foreground of the case, th)

本文件包括TSAI的摄像机标定法，及张正友的摄像机标定法，并给出标定模板，及标定数据，可以进行摄像机标定。(This document contains the camera calibration method TSAI, and Zhang are the Friends of the camera calibration method, and give calibration template, and calibration data, camera calibration can be carried out.)

Sep protocol in wireles sensor network