MATLAB 物体自动检测、自动分割、自动识别

【实例简介】这个课题是用matlab做的多人场景的人脸识别。先预处理，人脸定位，分割，训练，PCA降维求出协方差矩阵，人脸特征值，然后每个测试的人脸分别进行矩阵求列，作差对比，结果最小的就是目标人脸，输出识别结果，这个设计有可视化GUI用户操作界面，是个创新类课题。欢迎交流。

Building Trading Bots Using JavaEnglish | 6 Jan. 2017 | ISBN: 1484225198 | 300 Pages | PDF | 6.22 MBBuild an automated currency trading bot from scratch with java. In this book, you will learn about the nitty-gritty of automated trading and have a closer look at Java, the Spring Framework, event-Building Trading Bots Using Javahekhar VarshneyGrangesSwitzerlandISBN13(pbk):978-1-4842-2519-6ISBN-13(electronic): 978-1-4842-2520-2DOI10.1007/978-1-4842-2520-2Library of Congress Control Number: 2016961228Copyright o 2016 by Shekhar VarshneyThis work is subject to copyright All rights are reserved by the Publisher, whether the wholeor part of the material is concerned, specifically the rights of translation, reprinting, reuse ofillustrations, recitation, broadcasting, reproduction on microfilms or in any other physicalway, and transmission or information storage and retrieval, electronic adaptation, computersoftware, or by similar or dissimilar methodology now known or hereafter developedTrademarked names, logos, and images may appear in this book. Rather than use a trademarksymbol with every occurrence of a trademarked name, logo, or image we use the names, logos,nd images only in an editorial fashion and to the benefit of the trademark owner, with nointention of infringement of the trademarkThe use in this publication of trade names, trademarks, service marks, and similar terms, even ifthey are not identified as such, is not to be taken as an expression of opinion as to whetheror notthey are subject to proprietary rightsWhile the advice and information in this book are believed to be true and accurate at thedate of publication, neither the authors nor the editors nor the publisher can accept any legalresponsibility for any errors or omissions that may be made. The publisher makes no warranty,express or implied, with respect to the material contained hereinManaging Director: Welmoed SpahrLead Editor: Steve AnglinEditorial Board: Steve Anglin, Pramila Balan, Laura Berendson, Aaron Black, Louise Corrigan,Jonathan gennick, Robert Hutchinson, Celestin Suresh John, Nikhil KarkalJames Markham, Susan McDermott, Matthew Moodie, Natalie Pao, Gwenan SpearingCoordinating Editor: Mark PowersCopy Editor: Kezia EndsleyCompositor: SPi GlobalIndexer: SPi GlobaArtist: SPi GlobalDistributed to the book trade worldwide by Springer Science+ Business Media New York,233 Spring Street, 6th Floor, New York, NY 10013. Phone 1-800-SPRINGER, fax(201)348-4505e-mailorders-ny@springer-sbm.comorvisitwww.springeronline.com.ApressMedia,Llcisa California LlC and the sole member(owner) is Springer Science Business Media FinanceInc(SSBM Finance Inc). SSBM Finance Inc is a Delaware corporationForinformationontranslationspleasee-mailrights@apress.comorvisitwww.apress.comApress and friends of ed books may be purchased in bulk for academic, corporate, or promotionaluse eBook versions and licenses are also available for most titles For more information referenceourSpecialbUlkSales-ebookLicensingwebpageatwww.apress.com/bulk-salesAny source code or other supplementary materials referenced by the author in this text areavailabletoreadersatwww.apress.com.Fordetailedinformationabouthowtolocateyourbookssourcecodegotowww.apress.com/source-code/.ReaderscanalsoaccesssourcecodeatSpringerlink in the Supplementary Material section for each chapter.Printed on acid-free paperedicated to the angels in my lifemy mother, my wife Preshita, and my two daughters Mihika and anyaLast but not the least, my college professor, Dr. Rajat Moona,who sowed the seeds of computer programming in my dnaContents at a glanceAbout the authorChapter 1: Introduction to Trading Bota.Chapter 2: Account Management27Chapter 3: Tradeable Instruments47Chapter 4: Event Streaming: Market Data EventsChapter 5: Historic Instrument Market Data aeEERaar75Chapter 6: Placing Orders and trades97Chapter 7: Event Streaming: Trade/Order/Account Events159Chapter 8: Integration with Twitter aamna■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■175Chapter 9: Implementing Strategies.am.203Chapter 10: Heartbeating ammmmmmmmmmmn 219Chapter 11: E-Mail Notifications ammmmatmmammmmmmmnmamman 231Chapter 12: Configuration, Deployment, and Running the Bot 243Chapter 13: Unit Testing■■■■■■■■■■■■口■■■■■■■■■■■■■■■■■■■口■■■■■■■■■■■■■■■■■■口■■■■■263Index…277ContentsAbout the author,i币Chapter 1: Introduction to Trading Bot m mmmemmIRD■■■■■■■■■■■■■■■■■■■■■■■■■What Is a Trading Bot?Why do We need a trading bot?...3The capabilities of the Trading BotDesign goalsCode organization and software Stack Used .OANDA REST API as Reference Implementation.m....ammann. 8Opening an oanda practice Account80 ANDA JS0 N Keys…………Constructor Dependencies for OANDA Implementations15Event-Driven architectureG0 ogle eventBus…18Provider helper Interface20Trading Config class.........mmonann......mtnonnn.......tnn 22Obtaining the Source Code.aaeeaaaee... 24Try It Yourself section..aaaaaa.. 24Chapter 2: Account Managementa27Account provider interface31A Concrete Implementation for AccountDataProvider32Encapsulating Everything Behind a Generic AccountlnfoService37Try It yourself43VIlCONTENTSChapter 3: Tradeable Instruments47InstrumentA Concrete Implementation for InstrumentDataProvider52Encapsulating Everything Behind a Generic Instrumentservice56Try It yourself58Chapter 4: Event Streaming: Market Data Events mmmmmmmmmm. 61Streaming Market Data Interface.A Concrete Implementation for MarketData StreamingService .m..63Downstream Market data event disseminationMarketEventcallback……69Try It Yourself,…70Chapter 5: Historic Instrument Market Data mmmmmmmm 75How to read a candlestick75Enum Defining the Candlestick Granularity76Define pojo to hold candlestick information77Historical Data Provider Interface79A Concrete Implementation for HistoricMarketDataProvidern81Discussion An Alternate Database Implementation85Candlesticks for Moving Average Calculations....88MovingAverage calculation Service89Try lt YourselfChapter 6: Placing Orders and Trades■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■97Order pojo definition98Order Management provider Interface101A Concrete Implementation for Order ManagementProvider,103A Simple orderInfoService,115CONTENTSValidating Orders Before Execution: PreOrderValidationService... 116Putting It All Together in an OrderExecution Service .mmmm... 121Trade pojo definition124Trade Management provider Interface127A Concrete Implementation for TradeManagementProvider129Encapsulating Read Operations Behind TradelnfoService.....m. 136Try It yourself144Chapter 7: Event Streaming: Trade/order/Account Events m 159Streaming Event Interface161A Concrete Implementation for Events StreamingService162Try It Yourself171Chapter 8: Integration with Twitter■■■■■■■■■■■■■■■■■■■■175Creating a Twitter Application175Spring Social180Using and Configuring Spring Social180Harvesting FX Tweets181Tweetharvester Interface wmmm. 185XTWeethandler Interface,,,………AbstractFxtweethandler base class186User-Specific TweetHandlersTry lt Yourself.Chapter 9: Implementing Strategies.aa203Copy Twitter Strategy204Fade the Move Strategy210Try It Yourself214CONTENTSChapter 10: Heartbeating ammammmmmmmmmmmmmmm 219HeartBeatPayload. ..m......m. 219Streaming the Heartbeat Interface220A Concrete Implementation for HeartBeatstreamingService221HeartBeatcallback Interface223DefaultheartBeatservice223Try It Yourself226Chapter 11: E-Mail notifications n231Notification Design.EmailPayLoad poJoEmailContentgenerator interface……232Sample Implementations.EventEmailNotifier service mm...m. 235Try It Yourself.237Chapter 12: Configuration, Deployment, and running the bot m 243Configuring the Trading Bot243Core Beans configuration244Twitter-Related Beans Configuration.....................247Provider Beans Configuration248Strategies configuration…254Services Configuration254Building the Bot...,,,,,…,,……256Running the bot.....,,……259CONTENTSChapter 13: Unit Testinga263Using Mockito as a Mocking Framework.Mocking Http iNteraction..............m....................e........................ 264Mocking Streams.The versatile verify Mockit0…....,.,,…271Mocking Twitter Interaction .EclEmma Code Coverage Tool for Eclipse ide.nDDDDDDDDDm274Index■■■■■■■■■■■■■■■■■■■口En277

【实例简介】基于STM32F407ZGT6的示波器 信号发生器 数字万用表集成装置设计.7z

【实例简介】FIR、IIR数字滤波器是一类重要的滤波器，它用较低的阶数就可以很好地实现频率选择特性，因此在通信、语言与信号处理、HDTV（高画质电视）、生物医学以及地震勘测等许多方面都得到了广泛的应用。因此，FIR、IIR数字滤波器设计一直是数字信号处理领域中重要的研究课题之一。多年来，国内外学者在FIR、IIR数字滤波器设计问题上作了大量的探索并提出了许多有效的设计方法。 本文采用“巴特沃斯方法”建立了IIR数字滤波器模拟滤波器模型，用窗函数法——矩形窗、汉明窗、汉明窗、汗宁窗、凯撒窗建立了FIR数字滤波器模拟滤波器模型, 并用MATLAB方法对该优化数学模型的系数进行求解。由于窗函数法设计类似只是加的窗函数不同，故本文重点阐述矩形窗的设计方法

k-means总结汇总介绍基于k-means50年来的发展历程，系统的介绍了各种基于k-means的算法。非常好的数据挖掘入门读物。

学生成绩管理系统 采用MFC+SQL Server 2000开发，含程序和涉及设计文档.可供需要做相关课程设计的初学者参考。

基本的粒子群算法，编写的MATLAB的M文件，对于熟悉算法流程有帮助

【实例简介】经历了长达一年的资料积累，这是我整理的最完整的MSP430F5系列的中文资料与用户手册

用C++模拟直线插补（图形）http://blog.csdn.net/z893345329/article/details/25922857

本书包含了车辆工程各个领域的实际设计仿真案例，如车辆动态仿真、液力变矩器车辆动态仿真、车辆基础制动仿真计算、车辆转向系统仿真与优化、车辆各种悬架模型仿真、车辆传动系统扭转振动仿真研究、汽车各种重要机械部件设计优化