成都市矢量图shp格式

人体上面一部分的CT扫描原始数据，格式为dicom格式的，可用于人体三维模型的重建。

天津大学计算机科学与技术专业，大三上，编译原理2005-2013期末考试试卷。

F28335学习程序，带详细中文注释，初学者参考。

鲁棒统计，现代统计方法， Robust Statistics第二版，学习现代统计方法R○ BUST STAT|STCSSecond editionPeter j, huberProfessor of Statistics, retiredKlosters SwitzerlandEⅣ ezio m. RonchettiProfessor of StatisticsUniversity of Geneva, SwitzerlandWILEYA JOHn WileY SONS INC. PUBliCAtIONCopyrightc 2009 by John Wiley Sons, Inc. All rights reservedPublished by John Wiley sons, Inc, Hoboken, New JerseyPublished simultaneously in CanadaNo part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form orby any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except aspermitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the priorwritten permission of the Publisher, or authorization through payment of the appropriate per-copy fee tothe Copyright Clearance Center, Inc, 222 Rosewood Drive, Danvers, MA 01923, (978)750-8400, fax978)750-4470,oronthewebatwww.copyrigom. requests to the publisher for permission shouldbe addressed to the permissions department John Wiley sons, Inc., 11 1 River Street, Hoboken, NJ07030,(201)748-6011,fax(201)748-6008,oronlineathttp:/www.wileycom/go/permissionLimit of Liability /Disclaimer of Warranty: While the publisher and author have used their best efforts inpreparing this book, they make no representations or warranties with respect to the accuracy orcompleteness of the contents of this book and specifically disclaim any implied warranties ofmerchantability or fitness for a particular purpose. No warranty may be created or extended by salesrepresentatives or written sales materials. The advice and strategies contained herein may not be suitablefor your situation. You should consult with a professional where appropriate. Neither the publisher norauthor shall be liable for any loss of profit or any other commercial damages, including but not limitedto special, incidental, consequential, or other damagesFor general information on our other products and services or for technical support, please contact ourCustomer Care Department within the United States at(800)762-2974, outside the United States at(317)572-3993 or fax(317)572-4002.Wiley also publishes its books in a variety of electronic formats. Some content that appears in print maynot be available in electronic format. For information about wiley products, visit our web site atwww.wileycomLibrary of Congress Cataloging-in-Publication Data:Huber Peter JRobust statistics, second edition/ Peter J. Huber, Elvezio ronchettip. cnIncludes bibliographical references and indeISBN978-0-470-12990-6( cloth)1. Robust statistics. I. Ronchetti. elvezio. II. TitleQA276.H7852009519.5-dc222008033283Printed in the United States of america10987654321To the memory o1John w. tukeyThis Page Intentionally Left BlankCONTENTSPrefacePreface to first editionGeneralities1 Why robust Procedures1. 2 What Should a robust procedure achieve?1.2.1 Robust. Nonparametric and Distribution-Free1.2.2 Adaptive procedures1.2.3 Resistant Procedures1.2. 4 Robustness versus Diagnostics1.2.5 Breakdown point1.3 Qualitative Robustness567888911. 4 Quantitative Robustness1.5 Infinitesimal Aspects141.6 Optimal Robustness171.7 Performance Comparisons18CONTENTS1.8 Computation of robust estimates181.9 Limitations to Robustness Theory202 The Weak Topology and its Metrization23eneral remarks232.2 The Weak Topology232.3 Levy and prohorov metrics272.4 The bounded Lipschitz metric322.5 Frechet and Gateaux derivatives366 Hampels Theorem413 The Basic Types of Estimates453. 1 General Remarks453.2 Maximum Likelihood Type Estimates(M-Estimates)3.2.1 Influence Function of m-estimates73.2.2 Asymptotic Properties of M-Estimates483.2.3 Quantitative and Qualitative Robustness of MEstimates3.3 Linear Combinations of Order Statistics(L-Estimates)3.3.1 Influence Function of -Estimates3.3.2 Quantitative and Qualitative robustness of l-Estimates 593. 4 Estimates Derived from Rank Tests(R-estimates3.4.1 Influence Function of R-Estimates623.4.2 Quantitative and Qualitative robustness of R-Estimates 643.5 Asymptotically Efficient M-, L,and R-Estimates674 Asymptotic Minimax Theory for Estimating Location4.1 General remarks4.2 Minimax bias4.3 Minimax Variance: Preliminaries744. 4 Distributions minimizing fisher Information764.5 Determination of Fo by Variational Methods814.6 Asymptotically Minimax M-Estimates914.7 On the minimax Property for L-and R-estimates954.8 Redescending m-estimates74.9 Questions of Asymmetric Contamination101CONTENTSScale Estimates1055.1 General remarks1055.2 M-Estimates of scale1075.3 L-Estimates of scale5.4 R-Estimates of Scale1125.5 Asymptotically efficient Scale estimates1145.6 Distributions Minimizing fisher Information for Scale5.7 Minimax Properties116 Multiparameter Problemsin Particular Joint Estimationof Location and scale1256. 1 General remarks1256.2 Consistency of M-Estimates1266.3 Asymptotic Normality of M-Estimates1306. 4 Simultaneous m-Estimates of Location and scale1336.5 M-Estimates with Preliminary Estimates of Scale1376.6 Quantitative robustness of Joint Estimates of Location and Scale 1396.7 The Computation of M-Estimates of Scale14368Studentizing1457 Regression1497. 1 General remarks1497. 2 The Classical Linear Least Squares Case1547. 2.1 Residuals and Outliers1587.3 Robustizing the Least Squares Approach1607.4 Asymptotics of robust regression Estimates163741 The Cases hp2→0 and hp→07.5 Conjectures and Empirical Results1687.5.1 Symmetric Error Distributions1687.5.2 The Question of Bias1687.6 Asymptotic Covariances and Their estimation1707. 7 Concomitant Scale estimates1727.8 Computation of Regression M-Estimates1757.8.1 The Scale Step1767.8.2 The Location Step with Modified residuals1787.8.3 The Location Step with Modified Weights179CONTENTS7.9 The Fixed Carrier Case: What Size hi?1867. 10 Analysis of Variance1907. 11 LI-estimates and Median polish1937. 12 Other Approaches to Robust Regression1958 Robust Covariance and Correlation Matrices1998. 1 General remarks8.2 Estimation of Matrix Elements Through robust Variances2038.3 Estimation of Matrix Elements Through robust Correlation2048.4 An Affinely equivariant approach2108.5 Estimates Determined by Implicit Equations2128.6 Existence and Uniqueness of Solutions2148.6. 1 The Scatter estimate v2148.6.2 The Location estimate t2198.6.3 Joint Estimation of t and y2208.7 Influence Functions and Qualitative robustness2208.8 Consistency and asymptotic normality2238.9 Breakdown Point48.10 Least informative distributions2258.1058. 10.2 Covariance2278.11 Some Notes on Computation2339 Robustness of Design2399.1 General remarks2399.2 Minimax Global Fit9.3 Minimax Slope24610 Exact Finite Sample Results24910.1 General Remarks24910.2 Lower and Upper Probabilities and Capacities25010.2.1 2-Monotone and 2-Alternating Capacities25510.2.2 Monotone and Alternating Capacities of Infinite Order 25810.3 Robust Tests25910.3. 1 Particular Cases26510.4 Sequential Tests267

这是我自己写的一个基于SSH框架的一个图书管理系统，很简单，对于初学者可以参考一下。

基于人脸识别考勤系统的设计与实现 非常详细的人脸识别技术介绍西安电子科技大学学位论文创新性声明秉承学校严谨的学风和优良的科学道德,本人声明所呈交的论文是我个人在导师指导下进行的研究工作及取得的研究成果。尽我所知,除了文中特别加以标注和致谢中所岁列的内容以外,论文中不包含其他人已经发表或撰写过的研究成果;也不包含为获得西安电子科技大学或其它教育机构的学位或证书而使用过的材料。与我一同工作的同志对本研究所做的任何贡献均已在论文中做了明桷的说明并表示了谢意。申请学位论文与资料若有不实之处,本人承担切的法律责任本人签名:日期西安电子科技大学关于论文使用授权的说明本人完全了解西安电子科技大学有)保留和仗用学位论文的规定,即:研究生在校攻读学位期间论文工作的知识产权单位属西安电子科技大学。学校有权保留送交论文的复印件,允许查阅和借阅论文;学校可以公布论文的全部或部分内容,可以允许采用影印、缩印或其它复制手段保存论文。同时本人保证,毕业后结合学位论文研究课题再撰写的文章一律署名单位为西安电子科技大学。本人签名:日期导师签名日期摘要摘要随着科技的发展,智能化的考勤系统在企事业单位越来越被广泛使用,尤其是基于人休生物特征识别的考勤系统更是研究的热点。木文是采用基于实时视频流的人脸识别技术设计的考勤系统。本系统首先提出一套用于精确提取人脸区域的方法流程。通过算法对视频流中的人脸进行实时检测,然后对包含人脸的视频帧进行图像预处理和肤色建模来精确定位人脸,最后使用算法对定位的人脸进行跟踪。接着,木系统针对定位得到的人脸图片的光照变化提出了一种新的处理方法。、将光照变化分为光照強度和光照角度变化;二、川灰度归一化预处理降低对光照强度的敏感度;三、用个基本点光源近似表小人臉识别应用中的光照条件,估计输入图像最近似的光照条件,据此提出了“最近光照比图像”的概念,重构标准光照图像,降低光照角度的影响。对光照估计和重构的人脸图片健立嵌入式隐马尔可夫模型,提取它的观察向量并同数据库中的训练好的薮据进行最大似然估计,确定人脸身份。最后,实现了基于人脸识别的原型考勤系统,它实现了员工考勤信息的自动录入、管理等功能。通过对这个原型系统的改进来满足不同的应用需求。关键字:人脸识别最近光照比图像考勤系统基于人脸识别考勤系统的设计与实现closest light conditions of face images. Based on this, the concept"closest illuminationratio image(CIRi is proposed which is designed to reconstruct standard face images基于人脸识别考勤系统的设计与实现目录目录第·章绪论课题研究背景和意义相关理论基础与应用领域人脸识别国内外研究成果国外研究成果国内研究成果木文的主要工作及论文安排第二章图像预处理色彩平衡光照补偿直方图均衡化形态学运算色彩空间转换本章小节第三章视频图像人脸定位与跟踪视频图像视频图像简介图像米集卡工作原理及流程视频流获取人脸检测人脸检测方法概述基于人脸检测方法人脸定位基于的混合高斯肤色模型肤色分割边界提取人脸提取人脸跟踪跟踪技术实验及结果分析木章小节第四章人脸识别特征脸方法概述基于人脸识别考勤系统的设计与实现改进的人脸识别技术光照变化对人脸识别影响消除光照强度变化技术消除光照角度变化技术光照佔计和标准光照图像的重构光照估计和图像重构仿真实验基于的人脸识别隐马尔可夫模型简介理解人脸模型基于人脸识别三个问题及解决办法的特征值提取人脸训练人脸匹配本章小节第五章系统设计与实现系统设计概述采集模块设计视频采集硬件设备视频显示人脸图像获取管理模块设计员工信息管理模块人脸识别管理数据库的设计和开发数据库总体框架基木表建立人脸库建立系统菜单设计用户登录模块权限管理模块员工出勤记录员工基本信息管理查询模块用户界面设计

异步电动机变频调速系统的设计与仿真matlabsimulink

STM32用高级定时器TIM1输出单个pwm和互补pwm

使用MATLAB完成2ask信号的产生 加噪 调制 解调 接收 误码率分析等仿真。解调采用相干解调与非相干解调两种方式。

有完整的代码，也有设计好的完整的程序工程， 拿到手后可以直接在Quartus2上运行，还附有设计报告，包含连接图和仿真图！