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B样条插值的matlab程序
B样条插值的现成matlab程序，3次均匀B样条插值函数
- 2020-12-01下载
- 积分：1
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最优化理论与方法(袁亚湘)
最优化理论与方法(袁亚湘)
- 2020-11-27下载
- 积分：1
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Three.js加载obj+mtl文件，（机房演示效果图）
压缩文件包含了一个使用Three.js框架加载obj+mtl模型文件的3d机房实例效果，可用于参考如何使用Three.js加载3dMax之类的软件做出来的obj模型文件以及mtl材质文件。可本地运行（使用火狐浏览器），或者开启本地服务运行也可以。
- 2020-11-28下载
- 积分：1
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MATLAB GUI设计学习手记 (完整版 )
完整版MATLAB GUI设计学习手记第二版 ,【MATLAB GUI设计学习手记】源代码,MATLAB GUI设计学习手记（第3版）源代码BY罗华飞
- 2020-12-03下载
- 积分：1
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简易频谱分析仪[2005年电子大赛一等奖].
【实例简介】简易频谱分析仪[2005年电子大赛一等奖].
- 2021-10-29 00:32:33下载
- 积分：1
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Vista地震数据处理使用手册
【实例简介】地震数据处理软件Vista 数据叠加偏移
- 2021-11-11 00:33:45下载
- 积分：1
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directshow实现的视频采集程序AVCap
陆其明老师的directshow视频采集程序，已经调通，可实现一路视频采集、实时抓图等功能
- 2020-11-29下载
- 积分：1
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DMA+ADC+TIMER+FFT
【实例简介】使用TIMER定时器触发ADC采集，并将采集的数据通过DMA传送出来，连续采集1024个点后进行一次FFT运算，可以精确定时进行连续多样的采集，使用内部DSP库进行FFT计算结果可以很精确。
- 2021-11-07 00:37:40下载
- 积分：1
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使用Matlab和CCS设计FIR滤波器
详细讲解FIR滤波器的原理，Matlab的实现及导入CCS中的应用全过程。从中导出滤波器系数。在中,选择,如图。在出现的对话框中选择输出文件类型为,输出系数类型为如图所点击按钮,选择路径,即输出前一步设计出的滤波器的系数表。(假设生成的系数表文件为g Filter Dcaign Analzaia Too1-[untitled.fda]e Edi共书田田国回Sruct rForm FipStab er婴Fr eMei LY (kHzfilter Manage图A Export to Code Co poser Studio (tu)IDE□ Disaale memory trVariable names in c header fie:BNume"ator lengthFiata lype to l e In evpTarget selec 3○ Export suggestedDot Ele-c-recision⊙ Export asSg16H量 t integerFractional lengrh: 15Selectiarqet.HelE图利用产生噪声信号用于滤波器测试将下面代码另存为文件,在中运行后将会生成文件。该数据文件中含有三种频卒的信号,用于滤波器滤波效果测试。信号的时域图和频谱分别图、图所小采样数据个数米样周期待滤波信号波形待滤波信号频谱归一化打开文件输出文件头输出图图在中编写滤波器程序(本文以语言为例)新建工程,作者是以为例,新建工程的过程就不再赘述。编写语言源代码并导入工程,如下为生成的系数表头文件如运行不通过,请修改中的代码,将这行修改为如下:也就是自己机器上的安装的绝对路径滤波器的级数,本例中滤波器级数为待滤波的数据长度输入缓冲,在仿真时将从内存载入输出缓冲,直接存放在内存中文件如下,其实是从软件中的例子里复制过来的另外还要导入文件,在文件夹下。、滤波器仿真测试在第部分编译成功后会在工程所以目录文件夹下产生文件,在软件的里打开这个文件(图)TehCartsSave AALlLoad prReload p图将滤波器设计文件载入到内存中选择打开之前生成的文件(图)7/C54x Simulator (Texas Instruments)/dg Fi Edit View Project Debug Profiler GEL自Eea了eA11L。adPTR Load symbol10Adf SymbolReload pr.Load gelEiLe工图将设置为设置为设置为(图)Loading File into LAddressinputFagOK上ance1Hely2运行程序,点击叫按钮,程序即开始运行查看滤波器滤波效果打开(图)2/C54x Simulator (Texas Instruments)CPU - C54x(Simula File Edit view Project Debug Profiler GEL Opti on Tools DSF/EI20090614pit v Project Toolbar多画函了y edit tooleStatus rs0:1434E846FilesPlugin Too_bars00:1436L 4GE0:1436F73口Pia20:1438Memor00:143877180d:143A日EE8CPU Registers00:143D6F8图在上一步出现的对话框中,按如图设置:Graph Property Dialo冈ingle Timeaph Tt art AddressInputPageDat ation Buff20囗Index工 nCP EmerⅣ1sp1 as Iata s1reISP Data Type16-bit sAmp1 ing R& e (Hi〕PLatⅡ ata FroLe上 t to RightLe ft-shi fted Data DisplayAutoscaLees DisplayILHelp图如果出现的波形图太大,在图形上点右键,将之前的勾去掉,即会变成如图的波形t1Ee+434.11540〕Lin Auto S图重复前三个步骤,只改变图形选项中的使之最后出现如下的图形:input FT了L10011gin Auto s‖m.0FFT Magoutputoutput FFIE48B+de10TAtS‖I,10516FFT MLin Auto s图左上角:输入数据时域图右上角:输入数据频谱(左下角:输出数据时域图右下角:输出数据频谱(
- 2020-12-09下载
- 积分：1
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Adaptive Filters
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
- 2020-12-09下载
- 积分：1
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