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基于STM32和AD9850的波形发生器2012
基于STM32F103VET和AD9850的信号发生器的电路图+源代码+设计文档
- 2020-12-05下载
- 积分：1
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七自由度simulink车辆模型
用simulink搭建整车七自由度模型，包括整车垂向，俯仰 侧倾
- 2020-11-27下载
- 积分：1
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基于C++的三菱机床实时数据采集可运行demo源码（VS2017打开项目）
物联网采集机床数据监控基于C++的三菱机床实时数据采集可运行demo源码（VS2017打开项目）
- 2020-11-28下载
- 积分：1
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Python-深度强化学习PyTorch实现集锦
This repository contains most of classic deep reinforcement learning algorithms, including - DQN, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)
- 2020-02-04下载
- 积分：1
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纯JAVA中国天气网天气预报抓取解析存MYSQL程序（原创）
【实例简介】将中国天气网近六天（因为有些城市提供的接口只有五天数据，所以我暂时取5天，程序里依然是六天的标准）的天气情况抓取，用JSON解析，存入数据库，数据库是两张表，城市表和天气表。程序可以运行，两个表都能读入数据，城市表大致读入了423行数据，天气表大致读入了1800行数据。程序的缺点在于，暂时还没写注释，面向对象还未体现，没有实现每天定时抓取的性能，需要人工每天手动运行程序抓取数据。。。。。
- 2021-11-14 00:40:44下载
- 积分：1
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上海大学计算机组成原理历年试卷
上海大学计算机组成原理历年试卷，文档形式，内部资料。[X]补=0010011Y]补=00.11001:[-Y]补=10011(7分,过程4分,结果3分)被除数商说明0010011000000被除数与除数同号+1100111+[Y]补I1101000000*0余数语除数异号,商上011101000000*00左移1位011001上次商0,+Y]补011010000*01余数与除数同号,商10011010000*010左移1位+1100111上次商1,+Y]补0000001000*011余数与除数同号,商1000001000*0110左移1位+11001上次商1,十[-Y]补110100100*010余数与除数异号,商0+0010010上次商0,+Y]补11010110*01100余数与除数异号,商01010110冰011000左移1位011001商末位置1结果:0.110012、已知替换算法LRU当前的信息块在登记表中的排序为0、1、2、3、4、5,画图依次表示出在先后使用3、1、4时登记表中信息块排序的变化过程(0)(组分别是3、3、4分)原始使用3使用1使用440原则:把最近使用的资快提到最前面,替换最下面的3、已知内存地址为0~1M单元 Cache地址为01k单元,设每块为256个单元,设计一组组相连 Cache组织。(1)给出数学描述和说明(10)(2)出简图(图中的 Cache块和内存块应标明具体地址)(10描述(10分)具体分两组组相连映像方式是以组为单位,组与组间是直接映像组内是全相连映像例如, cache为4块将 cache分为两组每组512字节,分为两块此时取k=0,1则第j块内存地址映射为j=(i mod 2)*2+kk=0, 1图10分第1页(共6页)上海大学2003~2004学年秋季学期试卷(A卷)课程名:计算机组成原理学分:4(闭卷学号:姓名:院、系:成绩题号四五六七得分得、填空:(每格2分,共20分)l、存储器总体上按照存储介质分为2、存储器接到读/写命令到完成读/写操作所需要时间称为。存储器进行两次连续读/写操作所需要的最小间隔时间称为3、半导体动态RAM靠存储信息。4、直接由计算机硬件执行的程序是5、组成一个32K×8的存储器当分别选用1K×4位、16K×1位、2K×8位的三种不同规格的存储芯片时,各需片。得分、简答题(每题5分,共35分)1、画图并说明32位浮点数的规格化表示,并举例说明其精度及数据范围2、只读存储器分为那几类,各自的功能3、画图表小静态存储器地址信号首先选通时Adr、CS、Dout的开关特性信号次序)。并简述为什么试卷纸第2页(共6页)4、简述为保持 Cache和主存一致性而定义的 Cache的两种写入方式5、简述动态存储器刷新的两种工作方式6、简述段式和页式虚拟存储器的特点7、读写存储器的分类,各自的特点得分三、综合题(45)设X=0.10011,Y=0.11001写出一种两位定点乘法和一种位定点除法的计算过程并给出计算结果(15)FCLLUFLT.TV-了k平小T一廿性XJ试卷纸第3页(共6页)2、已知替换算法LRU当前的信息块在登记表中的排序为0、1、2、3、4、5,画图依次表示出在先后使用3、1、4时登记表中信息块排序的变化过程(10)。命题纸使用说明:1、字迹必须端正,以黑色碳素墨水书写在框线内,文字与试卷纸第4页(共6页)3、已知内存地址为0-M单元, Cache地址为0~1k单元设每块为256个单元,设计一组组相连 Cache组织。(1)给出数学描述和说明(10)(2)画出简图(图中的 Cache块和内存块应标明具体地址)(10)命题纸使用说明:1、字迹必须端正,以黑色碳素墨水书写在框线內,文字与草稿纸第5页(共6页命题纸使用说明:1、字迹必须端正,以黑色碳素墨水书写在框线内,文字与草稿纸第6页(共6贝丿
- 2020-12-03下载
- 积分：1
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Robust Statistics - 2nd Edition
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
- 2020-12-03下载
- 积分：1
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遗传算法优化BP网络(用于电力负荷预测预测）.
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- 2020-12-11下载
- 积分：1
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灰色线性回归
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- 2020-12-02下载
- 积分：1
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App版本升级更新
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- 2020-12-06下载
- 积分：1
