51单片机与触摸屏通信

详细介绍了摄像头坐标系，图像坐标系，世界坐标系的转换过程

【实例简介】可视化MFC做的学生学籍管理系统，是数据库的课程设计，有数据库的表操作，附带课程设计报告

本人QQ7049256，共同研究，一起进步。

彩色遥感图像分类算法及 Matlab实现

信号DCT字典稀疏表示，匹配追踪算法（MP）搜索稀疏系数，重构误差达到精度停止循环。

实验 1 ：模拟AM调制解调系统幅度调制解调技术是一种最简单的模拟调制方法，而且通过幅度调制容易理解调制的概念。本实验通过 LabVIEW 编程产生信号频率、幅度等参数可变的基带信号和载波信号，实现 AM 调制和解调，观察参数变化对已调信号的影响。并通过仿真运行整个 AM 调制解调系统，学习掌握代码调试方法，验证程序的正确性。实验 2 ：模拟FM调制解调系统利用 LABVIEW 仿真，产生基带信号频率、载波频率及频偏等参数可变的 FM 调制解调系统，观察参数变化对被调制信号以及其 FFT 功率谱的影响。并通过仿真运行整个 FM 调制解调系统，学习掌握代码调试方法，验证程序代码的正确性。通信原狸与系统实验报告【程序设计】1、总体程序实验1:模拟AM调制解调系统AM信亏波形翌(时)波信号上边带下边带正弦波形(时域)载波幅值制信号湖形图(时域)调制值颗谱测量AM洞制信号波形因(罚信号「·(峰值100000实验2:模拟FM调制解调系统载波率f(Hz)仿真信号3网回區最大偏移量f(Hz仿真信号2信号基带率和b(HzPower SpectruA圆周信号域仿真信号FM调制信号弦10000001000000导数dxdt)Simulate正弦通信原理与系统实验报告2、部分函数图音分函数图Hilbert变换函数部至复数转换复数至极坐标转换交流和直流分量估计归一化波形【实验内容】实验1:模拟AM调制解调系统1、按(P2713)的实验步骤1完成AM调制2、按(P2)的AM解调原理的提示完成AM解调根据实验教程,仿真信号快速ⅥI与频谱测量快速Ⅵ发其最终对话框选项设置如下:信号关型O幅(均方慢)加后的辅轴入信号5.583643幅度(峰直盐r变谱功增密赏占空比5.5050450D2040.60B口加难声声型099999阳果览种子值验时识相对于更开时间吧对(日期与时于均数日100000仍真平集时轴更信号采枉盈重置相位,种子和时标识乐月连续生成生递每次环口整数需吗数信号名称实玩无样数10o信号名称取商在前面板中设置参数如卜:载波幅值调制幅值11.:1戴冷200m1……4006008001000020406080100120140160180200调制频率0250500750100012501500175020000204060801001201401601802004通信原理与系统实验报告设置好参数后,运行程序,结果如图所示载波信号波形(时域)弦M4M制信号波形(时域正弦20020015050-15020020000.020.040.060.080.100.020.040.060.080.1时间时间AM调制信号形图(数城)开F:(值)四4M解号形(时城)5002050150200-15010020030040050000.020.040.060.080.1频率时间分析:观察“AM调制信号波形图(时域)”图可知:经过AM调制将调制信号加载到载波信号上后,形成的包络恰好与基带信号一致。观察“ΔM调制信号波形图(频域)”图可知:最左边的频谱为基带信号的频谱,而右边的三个频谱从左到右依次为下边带fc-fb,载波fe,上边带fc+fb的频谱。观察“AM解调信号波形图(时域)”图可知:解调后的信号与基带信号基本重合,说明运用包络检波法解调信号成功。改变实验参数增大基带信号的幅度,其他参数不变分析:如下图所示,前两幅图分別为增大基带信号幅度前的调制信号的时域图和频域图,后面两幅图为增大基带信号幅度后的调制信号的吋域图和频域图。通过观察图像可发现:增大基带信号樞度,其他参数不变的情况下:调制信号在时域上的幅度随基带信号幅度的增大而増大,而频域上不发生变化。5通信原狸与系统实验报告AM调制信号波形图(时域)AM调制信号波形(频域)应(F·(值)3005020050100200150300200-00.020.040.060.080.1100200300400500时间AM调周制信号波形图(时城)AM调制信号波形图(频域)正弦(FT·(峰值)50200100-1001002003000.020.040.060.080.10100200300400500时间频率增大基带信号的频率,其他参数不变分析:如下图所示,前两幅图分别为增大基带信号频率前旳调訇信号的时域图和频域图,后面两幅图为增大基带信号频率后的调制信号的时域图和频域图。通过观察图像可发现:增大基带信号频率,其他参数不变的情况下:调制信号在时域上的频率随基带信号频率的增大而增大,而频域上也发生了右移。AM调制信号波形图(时域MAM调制信号波形图(城)F·(峰值))M5020010050100200150-30020000.020.040.060.080.10100200300400500时间频率通信原理与系统实验报告AM调制信号波形图(时域)AM调制信号波形图(颈域)正弦·(峰值)50-200100500100-10020030020000.020.040.060.080.10100200300400500时间增大载波信号的幅度,其他参数不变分析:如下图所示,前两幅图分别为增大载波幅度前的调制信号的时域图和频域图,后面两幅图为增大载波幅度后的调制信号的时域图和频域图。通过观察图像可发现:增大载波幅度,其他参数不变的情况下:调制信号在时域上的幅度随载波信号幅度的增大而增大,而频域上不发生变化。AM调制信号波形图(时域)正弦AM调制信号波形圈(频域)H·(峰值)30050200010-500-100-200-150300-20000.020.040.060.080.10100200300400500时间频率AM调制信号波形图(时域)正弦AM制号形(炫)芷奸:()人503000200100细10020015030040020000.020.040.060.080.110200时间频率通信原狸与系统实验报告增大载波信号的频率,其他参数不变分析:如下图所示,前两幅图分别为增大载波频率前的调制信号的时域图和频域图,后面两幅图为增大载波频率后的调制信号的时域图和频域图。通过观察图像可发现:增大载波频率,其他参数不变的情况下:调制信号频率在时域上的频率随载波信号频率的增大而增大,而频域上也发生了右移。AM调制信号波形图(时城正弦AM调制信号波形图(颁域)正弦任FT·(峰值)3002000100200-300-20000.020.040.060.080.10100200300400500时间频率AM调制信号波形图(时域)正凶M制儒号形图(域):(峰)300502001000-100-20030020000.020.040.060.080.10100200300400500时间实验2:模拟FM调制解调系统、按(322.3)实验内容完成FM的调制2、按(3223)的实验内容元成FM的解调根据实验教程,仿真信号快速Ⅵ与频谱测量快速ⅥI及其最终对话框选项设置如下通信原理与系统实验报告配雪仿真信号[真台号3]生造量结果预范所选到早3、02691幅度(蜂值位(D功幸造C线性O功率造移量占空比O092Hanning君果候嚣均方根对测经开始间保待O姆对(日期与时词)半均数目C仿真菜对钟申仨号·以可达到最速度运行里相位种了和时标日相位軍预100日)来用端牛应信号名称O当平均时用信号类型名偏学会称□开相位150200250300350400450500阳确定联群取篇□帮数在前面板中设置参数如下:基带频率fb(Hz)载波频率fe(Hz)20000400006000080000100000110000033000005000007000009000001E+6最大偏移量t(Hz)20000400006000080000100000120000140000160000180000205410设置好参数后,运行程序,结果如图所示基带信号(时域正弦A载反信号(时域)正弦0.5000.5-0.505E-50.00010000150.00025E-50.00010.000150.0002时间时间时城须域FM调制信号(时域正弦0.50.52E-6E-58E-50.00010.000120.000140.000160.000180.0002时司通信原理与系统实验报告时域频域FM调制信号(域)正弦(功率-1002000500000150000025000003500000450000055000006500000750000085000001E+7频率FM解调信号(时域)正弦2E-56E-58E-50.00010.000120000140.000160.000180.0002时间分析:观察“FM调制信号(时域)”图与“FM调制信号(频域)”图可知:经过FM调制后产生的波形与原理相符合;观察“AM解调信号波形图(时域)”图可知:解调后的信号与基带信号基本重合,说明运用非相关包络检波法解调信号成功。改变实验参数≯增大基带信号的频率,其他参数不变分析:如下图所示,前两幅图分别为增大基带信号频率前的调制信号的时域图和频域图,后面两幅图为增大基带信号频率后的调制信号的时域图和频域图。通过观察图像可发现:增大基带信号频率,其他参数不变的情况下:调制信号在时域上的频率随基带信号的频率的增大而增大。

由于你的问题求解规模太大，所以试用版的免费版就不能求解.这是12.8的学术版，可以求解更大的问题规模

2009年-2018年 网络规划设计师历年真题+解析+50篇论文范文

包括一篇实习报告 和 15篇实习周记 计算机 软件的 php开发 原创啊 哈哈 可以拿去参考 改改

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