《从零开始创建uCosIII项目》中的工程源码

实数编码 遗传算法 组合优化,用matlab编的,有示例

1.使用印制电路板2.led屏采用LCD1602液晶显示屏3.使用STC12C5A60S2单片机，通过自身的串口1和电脑进行串口通讯4.LCD液晶屏显示当前的控制质量值，超过上限报警5.使用单片机自身的存储装置存储上限报警值6.报警为声光报警7.上位机将传感器的示数存储到并且显示，同时具有设置上限报警示数的功能，即采集的文字显示，设置报警系统上限的功能，界面单一8.板子上的按键可以设置报警的上限9.报警发送短信！

基于FPGA的高频PWM开关电源控制器设计,基于FPGA的DC／DC数字控制器中A／D采样控制、数字PI算法的实现；重点描述了采用混合PWM方法实现高分辨率、高精度数字PWM的设计方案

人工智能(百度人脸识别)简单案例

【实例简介】专门针对VC++6.0的一个标准汉化包!~希望大家喜欢,谢谢!~

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

ARIMA模型-matlab代码，可以根据自己的实际情况进行参数调节，实现所需要的效果。

二维计算全息用matlab实现，可以包括全息图的制作与数字再现。

基于STM32系列芯片的超声波智能跟随小车工程文件，可用于STM32的学习，是嵌入式方面的一个学习实践

论文，高速光纤通信与数字信号处理。相干光接收，频偏估计，相位估计，算法。Y175785独创性(或创新性)声明本人声明所呈交的论文是本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罗列的内容以外,论文中不包含其他人已经发表或撰写过的研究成果,也不包含为获得北京邮电大学或其他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作了明确的说明并表示了谢意。申请学位论文与套料若有不实之处,本人承担一切相关责任。本人签名:-/b日期:200列2关于论文使用授权的说明学位论文作者完全了解北京邮电大学有关保留和使用学位论文的规定,即:研究生在校攻读学位期间论文工作的知认产权单位属北京邮电大学学校有权保留并向国家有关部门或机构送交论文的复印件和磁盘,允许学位论文被查阅和借阅:学校可以公布学位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、汇编学位论文。本人签名:日期:20°3.2导师签名:日期:100Gb/ s PM-QPSK相干光接收机载波频偏估计和相位恢复算法的研究摘要通信网络中高速率业务的不断发展,对现有的城域网络及省际、国际骨干通信网络的传输带宽提出了更高、更迫切的要求。从目前主流的1040Gbp光传输技术向100Gbs演进成为光传输技术的发展趋势。近年来大量研究表明,相位调制及相干接收是最具前景的100Gbs光传输方式。其中,采用相干接收技术的偏振复用QPSK( PM-QPSK传输系统最被业界认可。该系统的符号速率比比特率降低4倍,因此有较高的光谱利用率,且收发机结构相对简单实现相对容易。此外,信道中的各种损伤,如色散、载波频偏、相位偏移等导致的信号损伤,都能在接收机中通过电域的数字信号处理(DSP)来灵活地补偿。对调相信号,载波与本振间的频率和相位偏移会使信号产生较大的相位失真,频偏估计和相位恢复成为相干接收机中两个重要的功能模块。本文在国家863计划课题“1000b/s相干光传输关键技术研究(2009AA01Z221)”资助下,对上述系统接收机载波频偏和相位恢复算法展开了深入研究,主要内容如下:1.研究了 PM-QPSK的系统组成结构,重点研究了接收机DSP各组成模块的功能,并设计实现了相干接收机后端Maab仿真平台。2.详细分析了载波频偏估计算法,设计了算法并行处理实施方案以解决现有硬件处理速率不足够高的问题,并仿真验证了方案的可行性。设计了四次方频偏估计算法的并行结构;提出了基于误码性能反馈的 BA-PADE( BER-Aided pre-decision- based Angle DifferentialEstimator)算法,解决了传统PADE要求初始频偏设置与真实频偏接近的问题;提出了基于PADE的并行处理算法一一分组PADE( Grouped-PADE)。所设计方案均通过系统仿真验证了可行性。3.详细分析了载波相位恢复算法,为采用现有FPGA或DSP实现l00Gb/级信号处理,设计了载波相位恢复并行处理方案并仿真验证了方案的可行性。设计了基于Ⅴ iterbj- Viterbi的优化算法及其并行处理结构,将其同频偏估计并行算法联合进行了二进制定点仿真分析,仿真结果表明并行处理方案可显著降低硬件处理速率要求。关键词光传输相干接收频偏相位恢复THE RESEARCH OF FREQUENCY OFFSET ESTIMATIONAND PHASE RECOVERY ALGORITHMFOR 100Gbs OPTICAL COHERENT PM-QPSK RECEIVERABStRcTThe rapid development of high bit-rate services in communicationnetworks has instantly demanded a much higher bandwidth of coretransmission links in WAN, inter-province and international networks.The upgrade from the existing 10G/40G optical transmission to 100G hasbeen a trend. The research in recent years indicates that systems withphase modulation and coherent detection are the most promising, ofwhich PM-QPsk gets most recognitionThe PM-QPsK lowers the symbol rate as 1/4 of bit rate whichprovide high spectrum efficiency, and the transceiver structure ofPM-QPSK is simpler and so is easier to realize. Besides, with digitalalgorithms, the electrical Digital Signal Processing(DSP)in thee receivercan flexibly compensate the channel distortion caused by dispersion,carrier frequency offset and phase distortion. Since the phase distortioncaused by frequency and phase offset between lo and carrier is one ofthe main distortions in PM-QPSK, frequency offset compensation andphase recovery act as two of the core modules.With the support of National 863 Project"Research of the KeyTechnologies of 100Gb/s Optical Coherent Transmission Systems?", thisthesis mainly focuses on the research of the digital algorithms of carrierfrequency offset compensation and carrier phase recovery in the receiverof PM-QPSK system and the main contents are as follows1. Investigation of PM-QPSK structure, mainly on the receiver DSPstructure, including function of the several modules in this partDesigning and implementation of the Matlab simulation platform for theback-end of PM-QpsK receiver.2. Analysis on the carrier frequency offset estimation algorithmsdesigning of the parallel structure of the algorithms in order to break therestriction of hardware speed, with feasibility testified by simulationDesigning of the parallel structure of the 4 power method Designing ofBA-PADE (BER-Aided Pre-decision-based Angle Differential Estimator)based on BER feed-back to break the exact initialization restriction oftraditional PADE. Designing of a parallel operation scheme based onPADE, namely Grouped-PADE. Feasibility of both the forementionedscheme testified by simulation.3. Analysis on the carrier phase recovery algorithms, designing ofthe parallel operation scheme in order to realize phase recovery in100Gb/s PM-QPSK with current FPGA or DSP, with feasibility testifiedby simulation. Designing of the optimized and the parallel structure ofViterbi- Viterbi (V-V)method, and binary fixed-point simulation ofparallel v-v together with frequency offset algorithm, the result provedthat the scheme could observably lower the request to the hardwareoperation speedKEYWORDS optical transmission coherent detectionfrequency offset phase recovery