Adaptive Filters

用MFC做的FTP客户端 实现上传与下载 ，支持断点续传

语音识别系统的代码，MATLAB版本，该语音识别系统可以实现说话人的语音识别功能，同时也可以实现识别不同的单词。

此系统为本人本科毕业设计时所做的一个简单小程序，最简单的教务管理系统，设计数据的增删改查功能。可作为新学习微信小程序的人员的参考代码。其中的数据为写死的数据（不是直接写上去，是模拟实际应用调用获取返回的数据），实际应用时将链接改为相应的程序接口即可。

异步电机闭环控制PWM启动simulink模型和C程序

聚类分析Matlab工具箱 Version1.0Clustering Analysis Matlab Toolbox - Trial Version 1.0%------------------------------------------------------------------------------1、该工具箱包括了常用的三种K-Means聚类分析和ISODATA聚类分析:...KMeansMain_KMeans.m % 标准 K-Means 聚类 - 主函数...KMeansMain_FuzzyKMeans.m

程序员是一种逻辑动物，只有当他们理解求职到底是一种什么行为以后，才能做出有意义的行动。　　所以本书不讲职场、不灌鸡汤，从价值论开始，以独创的职业画布工具展开，从四大象限、九大方面为你讲解。　　有果更有因、有理更有据，分析数据、简历模板、书写工具、技能树图一应俱全，实为程序员们应该人手一本的职业规划书。原理篇我之所以会去研究求职,以至于最后在人才这个方向创业,很大程度上是因为以前所有的求职指导都是经验论,缺乏逻辑性。而程序员是一种逻辑动物,只有当他们理解求职到底是一种什么行为以后,才能做出有意义的行动。我花了很久去寻找背后的理论支持,直到我重逢了价值论。原理篇从价值理论开始,讲述我们求职行为的本质。价值论人才的使用价值供需信息透明度交薪资换雇主价值自从中国转冋市场经济以后,市场规则就开始左右一切。虽然人才不完全等同于其他物品,但现在先让我们把人才也作为一类商品来看待。使用价值除了我们这些做人力资源相关行业的公司外,绝大部分公司购买人才都是为了使用,所以他们看中的是其使用价值。这个使用价值说得更直白一点,就是人才如何直接或者间接的为公司挣钱。使用价值不是独立存在的,而是相对于使用者存在。所以我们程序员自己的价值,也是相对于公司而言的。有同学说,我技术很好啊,又会机器学习又会编译原理,凭什么那些写 Javascript的薪水比我高一倍?谁让你在一家建站公司上班呢。对一家做网站的公司而言,机器学习和编译原理是不能为它带来收益的,而 Javascript写成的带有完美动画的交互组件却能实实在在的拉升公司产品的销售。而同样是这个人,如果他去一家以大数据分析为核心业务的公司工作,那么他的价值就不样了。所以你的价值,和你牛不牛无关,只和你能为你的雇主提供多少价值有关。(当然,大多数情况下,你能力越牛越能提供更多价值。)这是最根本的规则。增加自己的使用价值很简单,提升自己的业务能力就好。供需有个80后自嘲的段子是这么说的读小学时,大学不要钱;读大学时,小学不要钱;还没工作时,工作是分配的;可以工作时,得自谋职业;没挣钱时,房子是分配的;能挣钱时,发现一辈子的薪水也买不起房子。我不知道国内人才市场是什么时侯市场化的,就算成悲催的80后开始工作时吧。人才市场化意味着你有了选择公司的权利,同时也意味着公司有了选择你的权利。这个时候,交换价值就出来了。虽然交换价值以使用价值为基础,但它更容易受供需的影响简单的说,当企业的职位空缺远少于找工作的人数时,人才的价格就会下降;而当企业的职位空缺比找工作的人数更多时,人才的价格就会上升。在过去相当长时间里,我们都处于前一种情况。这意味着求职者要彼此竞争,而招聘方可以选择要价更低的候选人。这在大家大学毕业找工作时应该深有体会。幸运的是,供需也是可以调整的,技巧就在于选择更好的细分市场。因为需求的多样性是存在的,所以如果你能在一个大的需求中切入一个需大大大于求的细分市场,那么你就能得到远高于其他人的回报。举个例子,同样是管服务器,普通运维工程师和云计算运维工程师的薪资差异是非常大的。一个普通运维要变成云计算运维,需要补充的知识并不是特别多。所以你只要合理安排好自己的职业规划,比如以相对较低的薪资到类似新浪云这样的地方工作一到两年,你的能力和交换价值都会大幅度提升。信息透明度当人才市场很小的时候,信息是很透明的。因为很容易了解到各自的情况。但当信息量变大后,你就会发现虽然整个市场很大,但只有你接触到的才对你有意义。比如北京现在有100家公司都在招聘PHP,但你只知道其中3家,这个时候,其他97家公司的存在对你而言是没有意义的,即使这3家给你的薪资比其他公司低,你也只能被迫接受。这就是信息透明度对我们求职的影响。没有网络招聘的时候,我们很难对这些公司进行比较,折腾过几家公司后,就屈服了。有了网络招聘,求职者活得稍微好一些了,可以不岀门看到全国的招聘情况;但Jobboard形式的招聘站是为招聘方设计的,它们通过构造信息不对称,向求职者优先显示那些付费却未必最好的公司,迫使求职者以更低的薪资为这些可见的公司工作。(这无可厚非,所有中介体都是通过信息不对称来收费的)所以要想拿到足够好的薪资和获得足够多的机会,我们要学会和信息不对称进行抗争。定要在短时间内获取到大量的机会,这样才能「做选择题」而不是「做判断题」。关于如何改变信息不对称,操作篇中的「渠道」部分我们会详细说明。跳槽不是什么跳槽不是为了追求价值最大化虽然前边我们从纯商业的角度讨论了跳槽这件事,但实际上我们并不推荐求职者单纯地通过薪资的高低来选择雇主。原因有两个。工作是生活的一部分你每天有24小时,上班8小时,它是你三分之一的生命。如果你只是因为高薪选择了一家上班不开心的公司,那么接下来三分之一的日子你都会在痛苦中渡过。而你得到的,只是多出来的那么每月几千块钱而已。职业的不可逆性别的事情错了我们可以重来,而职业选择上,每一步都是好几年的时光。一旦走下去,就很难回头,因为一旦换职业方向、哪怕换个开发语言,都意味着你之前的积累很可能前功尽弃。所以眼光放长远点,不要只看眼前的高薪,更要看好未来的发展,方向错了,跑得越猛输得越狠。跳槽不是找工作跳槽不是找工作,而是换工作。所以它和你刚毕业时找工作不一样,它是有成本的到一家新的公司,需要放弃原来公司的期权,需要重新熟悉业务,重新和同事搞好人际关系,上班路上需要花更多的时间,甚至需要离开自己熟悉的城市。你并不是一无所有,虽然往往只有在你失去后才发现。所以跳槽之前要考虑好自己的付出和收益:衡量好得失:没事别裸辞。跳槽不是加薪的砝码不要以跳槽为砝码去谈加薪,这种迫胁性的谈薪资方式会使主管对你丧失信仼。不管涨薪成不成功,他都不得不为你的离职做好准备,而当准备完成后,你就可以走人了。类似的,当你提珧槽时,如果你的主管通过加薪来挽留你,最好也不要同意。程序员如何谈薪资如果你对现在公司很满意,只是觉得薪资大低,那么可以先和你的主管聊聊我一般这么谈加薪的首先,讲一讲自己最近在工作上的成长,看主管是否认同;●然后,从能力提升角度,向主管要一个更大的发展空间和更大的业务挑战;最后,问问当你的能力达到这个新的水平时,蒜资是否可以同步提升起来。这样谈有几个好处:它建立了一个谈话基础,那就是薪资应该和能力相匹配它不谈现在的薪资,而是谈未来,一方面表明你对现在的薪资还算满意(以减少主管顾虑),另一方面对主管来讲,他没有立刻给你涨薪的压力;·它体现了你对自己能力提升的渴求,而如果在谈话中出现任何不顺利,你可以把中途把对话结束,根本不提加薪的事情。当然,坏处就是你得隔段时间才能加薪了。跳槽到底为什么说了那么多跳槽不是什么,那跳槽到底为什么呢?求职的本质在跳槽之前,你想过我们为什么要工作么?其实并不是真的如我们父辈们认为的那样,人活着就是要有一份工作的。工作最重要的目的是累积金钱。这是我们在这个现实世界用以维持生计的必需资源。挣钱这件事,至少有四种形式:帮别人挣钱(打工);为自己挣钱(SOHO);雇别人挣钱(企业主);让钱自己挣钱(投资)。为什么我们总是选择第一种呢?因为第一种门槛和风险都最低。而求职只是我们在自己资源和能力不足以进入后几种挣钱形式时,通过出卖自己的劳动能力换取资源的阶段性行为当然,如果能在第一种形式下获得自己满意的物质回报和精神满足,你也可以永远不考虑其他形式,但其他形式在挣钱的效率和数量上是有优势的。这个我们在稍后的章节会细聊。跳槽的意义跳槽其实是打工这种挣钱形态下,我们进行自我调节的方式,通过合理地跳槽,我们可以寻找到市场需求和自我实现的最佳匹配,从而在金钱和成长上双丰收。「市场需求」描述了企业渴求的员工;「自我实现」描述了你想要的生活;当它们重合到起,梦想就照进了现实。这会带给你几年非常愉快的工作生活,但随着我们不断成长,职位和能力可能出现不匹配,这时候我们又需要通过跳槽来再次调节。很多时候,这也是很无奈的事情,不进则退,人在江湖身不由己。跳槽的原则我有一个很好用的跳槽原则,之前发到微博上被赞了上百次:

MATLAB在卡尔曼滤波器中应用的理论与实践KalmanKALMAN FILTERINGTheory and Practice Using MATLABThird editionMOHINDER S GREWALCalifornia State University at FullertonANGUS P. ANDREWSRockwell Science Center (retired)WILEYA JOHN WILEY & SONS, INC. PUBLICATIONCopyright 2008 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 or byany means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permittedunder Section 107 or 108 of the 1976 United States Copyright Act, without either the prior writtenpermission of the Publisher, or authorization through payment of the appropriate per-copy fee to theCopyright Clearance Center, Inc, 222 Rosewood Drive, Danvers, MA 01923,(978)750-8400, fax(978)750-4470,oronthewebatwww.copyright.com.RequeststothePublisherforpermissionshouldbe addressed to the Permissions Department, John Wiley Sons, Inc, lll River Street, Hoboken, NJ07030,(201)748-6011,fax(201)748-6008,oronlineathttp://www.wiley.com/go/permissionimit 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 or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability orfitness for a particular purpose. No warranty may be created or extended by sales representatives orwritten sales materials. The advice and strategies contained herein may not be suitable for your situationYou should consult with a professional where appropriate. Neither the publisher nor author shall be liablefor any loss of profit or any other commercial damages, including but not limited to special, incidentalconsequential, 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)572-4002Wiley also publishes its books in a variety of electronic formats. Some content that appears in print maynot be available in electronic format. For more information about wiley products, visit our web site atwww.wiley.comLibrary of Congress Cataloging- in-Publication DataGrewal. Mohinder sKalman filtering: theory and practice using MATLAB/Mohinder S. GrewalAngus p. andrews. 3rd edIncludes bibliographical references and indexISBN978-0-470-17366-4( cloth)1. Kalman filtering. 2. MATLAB. I. Andrews, Angus P. II. TitleQA402.3.G69520086298312—dc22200803733Printed in the United States of america10987654321CONTENTSPrefaceAcknowledgmentsXIIIList of abbreviationsXV1 General Information1.1 On Kalman Filtering1.2 On Optimal Estimation Methods, 51. 3 On the notation Used In This book 231. 4 Summary, 25Problems. 262 Linear Dvnamic Systems2. 1 Chapter focus, 312.2 Dynamic System Models, 362. 3 Continuous Linear Systems and Their Solutions, 402.4 Discrete Linear Systems and Their Solutions, 532.5 Observability of Linear Dynamic System Models, 552.6 Summary, 61Problems. 643 Random Processes and Stochastic Systems3.1 Chapter Focus, 673.2 Probability and random Variables (rvs), 703.3 Statistical Properties of RVS, 78CONTEN3.4 Statistical Properties of Random Processes(RPs),803.5 Linear rp models. 883.6 Shaping Filters and State Augmentation, 953.7 Mean and Covariance propagation, 993.8 Relationships between Model Parameters, 1053.9 Orthogonality principle 1143.10 Summary, 118Problems. 1214 Linear Optimal Filters and Predictors1314.1 Chapter Focus, 1314.2 Kalman Filter. 1334.3 Kalman-Bucy filter, 1444.4 Optimal Linear Predictors, 1464.5 Correlated noise Sources 1474.6 Relationships between Kalman-Bucy and wiener Filters, 1484.7 Quadratic Loss Functions, 1494.8 Matrix Riccati Differential Equation. 1514.9 Matrix Riccati Equation In Discrete Time, 1654.10 Model equations for Transformed State Variables, 1704.11 Application of Kalman Filters, 1724.12 Summary, 177Problems. 1795 Optimal Smoothers5.1 Chapter Focus, 1835.2 Fixed-Interval Smoothing, 1895.3 Fixed-Lag Smoothing, 2005.4 Fixed-Point Smoothing, 2135.5 Summary, 220Problems. 226 Implementation Methods2256. 1 Chapter Focus, 2256.2 Computer Roundoff, 2276.3 Effects of roundoff errors on Kalman filters 2326.4 Factorization Methods for Square-Root Filtering, 2386. 5 Square-Root and UD Filters, 2616.6 Other Implementation Methods, 2756.7 Summary, 288Problems. 2897 Nonlinear Filtering2937.1 Chapter Focus, 2937.2 Quasilinear Filtering, 296CONTENTS7.3 Sampling Methods for Nonlinear Filtering, 3307.4 Summary, 345Problems. 3508 Practical Considerations3558.1 Chapter Focus. 3558.2 Detecting and Correcting Anomalous behavior, 3568.3 Prefiltering and Data Rejection Methods, 3798.4 Stability of Kalman Filters, 3828. 5 Suboptimal and reduced- Order Filters, 3838.6 Schmidt-Kalman Filtering, 3938.7 Memory, Throughput, and wordlength Requirements, 4038.8 Ways to Reduce Computational requirements 4098.9 Error Budgets and Sensitivity Analysis, 4148.10 Optimizing Measurement Selection Policies, 4198.11 Innovations analysis, 4248.12 Summary, 425Problems. 4269 Applications to Navigation4279.1 Chapter focus, 4279.2 Host vehicle dynamics, 4319.3 Inertial Navigation Systems(INS), 4359. 4 Global Navigation Satellite Systems(GNSS), 4659.5 Kalman Filters for GNSS. 4709.6 Loosely Coupled GNSS/INS Integration, 4889.7 Tightly Coupled GNSS /INS Integration, 4919. 8 Summary, 507Problems. 508Appendix A MATLAB Software511A 1 Notice. 511A 2 General System Requirements, 511A 3 CD Directory Structure, 512A 4 MATLAB Software for Chapter 2, 512A. 5 MATLAB Software for Chapter 3, 512A6 MATLAB Software for Chapter 4, 512A. 7 MATLAB Software for Chapter 5, 513A 8 MATLAB Software for Chapter 6, 513A 9 MATLAB Software for Chapter 7, 514A10 MATLAB Software for Chapter 8, 515A 11 MATLAB Software for Chapter 9, 515A 12 Other Sources of software 516CONTENAppendix b A Matrix Refresher519B. 1 Matrix Forms. 519B 2 Matrix Operations, 523B 3 Block matrix Formulas. 527B 4 Functions of Square Matrices, 531B 5 Norms. 538B6 Cholesky decomposition, 541B7 Orthogonal Decompositions of Matrices, 543B 8 Quadratic Forms, 545B 9 Derivatives of matrices. 546Bibliography549Index565PREFACEThis book is designed to provide familiarity with both the theoretical and practicalaspects of Kalman filtering by including real-world problems in practice as illustrativeexamples. The material includes the essential technical background for Kalman filter-ing and the more practical aspects of implementation: how to represent the problem ina mathematical model, analyze the performance of the estimator as a function ofsystem design parameters, implement the mechanization equations in numericallystable algorithms, assess its computational requirements, test the validity of resultsitor the filteThetant attributes ofthe subject that are often overlooked in theoretical treatments but are necessary forapplication of the theory to real-world problemsIn this third edition, we have included important developments in the implemen-tation and application of Kalman filtering over the past several years, including adaptations for nonlinear filtering, more robust smoothing methods, and develelopingapplications in navigationWe have also incorporated many helpful corrections and suggefrom ourreaders, reviewers, colleagues, and students over the past several years for theoverall improvement of the textbookAll software has been provided in MatLab so that users can take advantage ofits excellent graphing capabilities and a programming interface that is very close tothe mathematical equations used for defining Kalman filtering and its applicationsSee Appendix a for more information on MATLAB softwareThe inclusion of the software is practically a matter of necessity because Kalmanfiltering would not be very useful without computers to implement it. It provides aMATLAB is a registered trademark of The Mathworks, IncEFACEbetter learning experience for the student to discover how the Kalman filter works byobserving it in actionThe implementation of Kalman filtering on computers also illuminates some of thepractical considerations of finite-wordlength arithmetic and the need for alternativealgorithms to preserve the accuracy of the results. If the student wishes to applywhat she or he learns, then it is essential that she or he experience its workingsand failings--and learn to recognize the differenceThe book is organized as a text for an introductory course in stochastic processes atthe senior level and as a first-year graduate-level course in Kalman filtering theory andapplicationIt can also be used for self-instruction or for purposes of review by practi-cing engineers and scientists who are not intimately familiar with the subject. Theorganization of the material is illustrated by the following chapter-level dependencygraph, which shows how the subject of each chapter depends upon material in otherchapters. The arrows in the figure indicate the recommended order of study. Boxesabove another box and connected by arrows indicate that the material represented bythe upper boxes is background material for the subject in the lower boxAPPENDIX B: A MATRIX REFRESHERGENERAL INFORMATION2. LINEAR DYNAMIC SYSTEMSRANDOM PROCESSES AND STOCHASTIC SYSTEMS4. OPTIMAL LINEAR FILTERS AND PREDICTORS5. OPTIMAL SMOOTHERS6. IMPLEMENTATIONMETHODS7. NONLINEAR8. PRACTICAL9. APPLICATIONSFILTERINGCONSIDERATIONSTO NAVIGATIONAPPENDIX A: MATLAB SOFTWAREChapter l provides an informal introduction to the general subject matter by wayof its history of development and application. Chapters 2 and 3 and Appendix b coverthe essential background material on linear systems, probability, stochastic processesand modeling. These chapters could be covered in a senior-level course in electricalcomputer, and systems engineeringChapter 4 covers linear optimal filters and predictors, with detailed examples ofapplications. Chapter 5 is a new tutorial-level treatment of optimal smoothing

WebGIS从基础到开发实践配套的源代码,60个应用实例,HTML5与CSS3的全面介绍与深入应用。配套源代码,很实用的;WebGIS从基础到开发实践的内部案例文档,里面包含WebGIS从基础到开发实践的基础案例,适合新手。

通过LabVIEW编写代码，通过前面看面板显示点阵

ADI公司的已验证电路由ADI工程师设计和搭建。每个电路的设计和搭建均采用标准的工程实践技术，其功能和性能已经在室温下的实验室环境中经过了测试和验证。但是，用户需负责自行测试电路，并决定它对自己是否适用。因而，ADI公司将不对由任何原因、连接到任何已验证电路上的任何物品所导致的直接、间接、特殊、偶然、必然或者惩罚性的损害负责。在文档的“常见变化”章节里描述的其他变化电路也未必被实际搭建和测试过。已验证电路仅供与ADI公司产品一起使用，并且其知识产权为ADI公司或其授权方所有。虽然用户可能在自己的产品设计中使用已验证电路，但是并未被默认授予其他许可，或是通过此参考电路的应用及使用而获得任何专利或其它知识产权。ADI公司提供的信息被认为是准确及可靠的。不过，已验证电路是以“原样”的方式提供的，并不具有任何种类的承诺，包括但不限于：明示、暗示或者法定承诺，任何商业性、未侵权或者某特定用途实用性的暗示承诺，ADI公司无需为已验证电路的使用承担任何责任，也不对那些可能由于其使用而造成任何专利或其它第三方权利的侵权负责。ADI公司有权随时修改任何参考电路，而不另行通知。所有商标和注册商标均属于其相应公司