学生选课系统（ASP.NET）

该程序有详细的注释，易于读者理解与运用。

自适应滤波器的权威Sayed的大作，用大量的实例诠释自适应滤波器的各种算法原理，是不可多得的好书。ADAPTIVE FILTERSADAPTIVE FILTERSALIH SAYEDUniversity of California at Los Angeles◆旧EEEIEEE PressWIlEYNTERSCIENCEA JOHN WILEY SONS, INC, PUBLICATIONCover design by Michael RutkowskiCopyright C 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 bymeans, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under anySection 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of thePublisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center,Inc, 222 Rosewood Drive, Danvers, MA01923, (978)750-8400, fax(978)750-4470, or on the web atwww.copyright.comRequeststothePublisherforpermissionshouldbeaddressedtothePermissionsDepartment, John Wiley sons, Inc, 111 River Street, Hoboken, NJ,(201)748-6011, fax(201)748-6008,oronlineathttp:/www.wiley.com/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 or completeness ofe contents of this book and specifically disclaim any implied warranties of merchantability or fitness for aarticular purpose. No warranty may be created or extended by sales representatives or written sales materialsThe advice and strategies contained herein may not be suitable for your situation. You should consult with aprofessional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or anyother commercial damages, including but not limited to special, incidental, consequential, or other damagesFor general information on our other products and services or for technical support, please contact our CustomerCare 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 may not beavailable in electronic formats. For more information about wiley products, visit our web site atwww.wlley.conLibrary of Congress Cataloging-in-Publication Data:Sayed, Ali hAdaptive filters/Ali H. Sayedp cmIncludes bibliographical references and indexISBN9780470-25388-5( cloth)Adaptive filters. I. TitleTK7872F5s285200862138l5324dc222008003731Printed in the united states of america10987654321To my parentsContentsPrefacexviiNotationXXVAcknowledgmentsXXXBACKGROUND MATERIALA Random variablesA 1 Variance of a random variableA2 Dependent random VariablesA3 Complex-Valued Random VariablesA 4 Vector -Valued Random variables3467A.5 Gaussian Random VectorsB Linear Algebra12B. Hermitian and Positive- Definite matricesB 2 Range spaces and nullspace of matrices14B3 Schur Complements16B 4 Cholesky factorizationB 5 QR DecompositionB6 Singular Value Decomposition20B 7 Kronecker productsC Complex Gradients25C 1 Cauchy-Riemann Conditions5C2 Scalar arguments26C3 Vector arguments26PART:。 PTIMAL ESTIMATIONScalar- Valued Data291. 1 Estimation Without observations1.2 Estimation Given Dependent observations1.3 Orthogonality Principl36CONTENTS1,4 Gaussian random variables382 Vector- Valued Data422. 1 Optimal Estimator in the vector Case422.2 Spherically Invariant Gaussian Variables462. 3 Equivalent Optimization Criterion49Summary and Notes51Problems and Computer Projects54PART I: LINEAR ESTIMATION3 Normal Equatlons603. 1 Mean-Square Error Criterion613.2 Minimization by Differentiation3.3 Minimization by Completion-of-Squares633.4 Minimization of the error Covariance matrix653.5 Optimal Linear estimator4 Orthogonality princlple4. 1 Design Examples4.2 Orthogonality Condition4.3 Existence of solutions744, 4 Nonzero-Mean variables5 Linear Models5.1 Estimation using Linear Relations5.2 Application: Channel Estimation5Application: Block Data Estimation815. 4 Application: Linear Channel equalization825.5 Application: Multiple-Antenna Receivers85Constralned estimation876.1 Minimum-Variance Unbiased estimation6.2 Example: Mean Estimation6.3 Application: Channel and Noise Estimation916.4 Application: Decision Feedback Equalization6.5 Application: Antenna Beamforming1017 Kalman Filter1047.1 Innovations process7.2 State-Space Model106

（转）陆陆续续用QT开发过很多项目，也用QT写过不少私活项目，也写过N个工具，一直梦寐以求能像VC一样可以很方便的有个自定义的界面，QSS的强大让我看到了很好的希望。 特点： 1：无边框窗体，自定义标题栏，鼠标拖动，大小缩放，双击切换。 2：除了少量的几个图片资源外，几乎使用QSS写完所有颜色样式控制。 3：自定义一个QMessageBox对话框，自动换行显示提示信息，可以很方便的调用。 4：使用fontawesome图形字体库，将互联网的优秀资源应用于QT中。 5：彻底公开源码，可以任意随意使用。 6：QT各个版本都可以编译通过，亲测无误。 7：自带提供了四种样式黑色、蓝色、灰色、天蓝色风格

5点3次加权滤波 通过Matlab实现作出平滑前和平滑后的曲线

对灰度图像进行二值化，二值膨胀，二值腐蚀以及求目标质心。

用C#写的，可以传图片、删除图片、修改~希望对大家有用

使用官方2015试用版进行开发后，通过替换引用重新生成。该库基于.net4.0 已完成破解，方便在低版本的运行库上 进行兼容

【实例简介】针对大的数据集进行快速的景观指数计算.景观生态学者对比景观的各项景观指数来景观的时空变化，以及预测景观格局效应。APACK设计的目的是为了开发一种有效的程序来计算景观指数，它是由C++语言写的独立执行的程序，在windows平台上运行，支持的数据格式包括ERDAS GIS文件和ASCII文件。 输出的数据由文本文件和电子表格组成。APACK能计算25个景观指数，这些指数主要包括基本指数（如：面积）、信息论指数（如：多样性）、结构指数（如：孔隙度、连通性）

这是新浪微博爬虫，采用python+selenium实现。免费资源，希望对你有所帮助，虽然是傻瓜式爬虫，但是至少能运行。同时rar中包括源码及爬取的示例。参考我的文章：http://blog.csdn.net/eastmount/article/details/50720436[python爬虫] Selenium爬取新浪微博内容及用户信息http://blog.csdn.net/eastmount/article/details/51231852[Python爬虫] Selenium爬取新浪微博客户端用户信息、热点话题及评论 (上)主要爬取内容包括：新浪微博手机端用户信息

基于MATLAB的机器人避障程序，采用网格图作为环境