MINI_STM32示波器

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NI USB-6001电压/阻测试项目源代码（labview2017）1，使用io触发，自动扫描io上升沿，输入io可选。2，使用差分方式采样，双通道同时采样，采样数据实时显示。3，可手动触发采样，采样率，采样数，测试周期可自定义。4，可保存控件值，运行程序自动加载上次保存的控件值。5，数据保存到.xls表格，每天新建以年-月-天命名的文件，每个月创建一个文件夹存放数据。6，测试结果通过USB-6001自带io输出。真实项目应用源代码!--------------------- 作者：weixin_44070611 来源：CSDN 原文：https://blog.cs

教学管理系统源码本系统从用户角色上分为了三大模块：管理员模块、教师模块、学生模块。1、管理员模块该模块主要提供了管理员在本系统当中能够进行的各项功能，包括用户信息的管理，班级信息的管理，课程信息的管理，教室信息的管理，课表信息的管理。用户信息的管理包括对管理员信息的添加修改查询，教师信息的添加修改查询，学生信息的添加修改查询。班级信息管理包括对班级的添加修改和查询。课程信息表管理包括对课程的添加修改和查询。教室信息管理包括对教室的添加修改和查询来维护教室资源。课表信息管理包括对课表的添加修改查询和打印，其中查询分为对班级课表的查询，对教师课表的查询，对教室课表的查询。2、教师模块该模

本人所做两输入，5个模糊子集，模糊规则为乘积，隶属度函数为高斯性，高斯型包含的均值，方差，以及神经网络权值的学习率可自适应学习

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

使用者可以根据流体密度、粘度、水力直径，使用该程序方便的计算出湍流强度、湍动能、湍流扩散率等值。

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PMP培训精讲课件，近900页的讲义，涵盖全部PMP考试范围，5星级课件！项目整合管理；项目范围管理；项目进度管理；项目成本管理；项目质量管理；项目人力资源管理；项目沟通管理；项目风险管理；项目采购管理；项目干系人管理

二进制转换十进制例：  01100100 =100  第0位：0*2^0=0  第1位：0*2^1=0  第2位：1*2^2=4  第3位：0*2^3=0  第4位：0*2^4=0  第5位：1*2^5=32  第6位：1*2^6=64  第7位：0*2^7=0         4 32 64=100八进制转换十进制例：  1507=839  第0位：7*8^0=7  第1位：0*8^1=0  第2位：5*8^2=320  第3位：1*8^3=512         7 320 512=839十六进制转换十进制例：  2AF5=10997  第0位：5*16^0=5  第1位：F*16^1=240  第2位：A*16^2=2560  第3位：2*16^3=8192         5 240 2560 8192=10997十进制转换八进制例：  120=170  120 120/8 15 0  15  15/8  1  7  1   1/8   0  1十进制转换二进制和十进制转换八进制一样只是把除数变成2。十进制转换十六进制例：  120=78  120 120/16 7 8  7   7/16   0 7二进制转换十六进制例:  二进制转换十六进制是以4位一段分别转换为十六进制。  权值：23=8,22=4,21=2,20=1  所以：1111=F 二进制                  十进制               十六进制 1111            8 4 2 1=15                      F 1110            8 4 2 0=14                      E ......1111 1101 , 1010 0101 , 1001 1011  F    D  ,   A    5  ,   9   B原码：    一个整数，按照绝对值大小转换成二进制，成为原码。  例：00000000 00000000 00000000 00000101 是5的原码反码：   将二进制数按位取反，所得的新二进制数称为原二进制数的反码。   取反操作指：1变0；0变1例：    00000000 00000000 00000000 00000101每一位取反，得11111111 11111111 11111111 11111010   称：00000000 00000000 00000000 00000101是11111111 11111111 11111111 11111010的反码补码：     反码加1称为补码    也就是说，要得到一个数的补码，先得到反码，然后将反码加上1，所得数称为补码例：00000000 00000000 00000000 00000101是11111111 11111111 11111111 11111010的反码   那么，补码位：11111111 11111111 11111111 11111010 1=11111111 11111111 11111111 11111011