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[Other resource] Matlab_pc_serial

Description: 结合单片机和M a t l a b 两者的优点，基于事件驱动的中断通信机制，提出一种Matlab 环境下PC 机与 单片机实时串行通信及数据处理的方法；完成单片机数据采集系统与PC 机的RS-232/RS-485 串行通 信及其通信数据的分析处理、文件存储、F I R 滤波及图形显示；简化系统开发流程，提高开发效率。 该方法已成功应用于一个P I C 1 6 F 8 7 6 单片机应用系统实例之中
Platform: | Size: 151646 | Author: pengrong | Hits:

[Other resource] lifting_97

Description: 本程序实现任意偶数大小图像第二代双正交97提升小波变换 注1： 采用标准正交方法，对行列采用不同矩阵（和matlab里不同） 注2： 为了保证正交，所有边界处理，全部采用循环处理 注3： 正交性验证，将单位阵带入函数，输出仍是单位阵（matlab不具有此性质） 注4： 此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 注5： 此程序实现的是类小波（wavelet-like）变换，是介于小波包变换与小波变换之间的变换 注6： 此程序每层变换相对原图像矩阵，产生的矩阵都是正交阵，这和小波包一致 注7： 但小波变换每层产生的矩阵，是相对每个待分解子块的正交矩阵，而不是原图像的正交矩阵 注8： 且小波变换产生的正交矩阵维数，随分解层数2分减少 注9: 提升系数可以在MATLAB7.0以上版本，用liftwave( 9.7 )获取，这里直接给出，考虑兼容性 注10：由于MATLAB数组下标从1开始，所以注意奇偶序列的变化 注11：d为对偶上升，即预测；p为原上升，即更新
Platform: | Size: 2803 | Author: 罗万团 | Hits:

[SCM] Matlab_pc_serial

Description: 结合单片机和M a t l a b 两者的优点，基于事件驱动的中断通信机制，提出一种Matlab 环境下PC 机与 单片机实时串行通信及数据处理的方法；完成单片机数据采集系统与PC 机的RS-232/RS-485 串行通 信及其通信数据的分析处理、文件存储、F I R 滤波及图形显示；简化系统开发流程，提高开发效率。 该方法已成功应用于一个P I C 1 6 F 8 7 6 单片机应用系统实例之中-Combination of single-chip and M atlab strong points of both, based on event-driven interruption of communication mechanism, a Matlab environment PC and MCU in real-time serial communication and data processing methods complete single-chip data acquisition system with PC-RS-232/RS-485 serial communication and analysis of communication data processing, file storage, FIR filtering and graphical display simplify the system development flow, improve development efficiency. The method has been successfully applied to a PIC 1 6 F 8 7 6 examples of single-chip microcomputer application systems
Platform: | Size: 151552 | Author: pengrong | Hits:

[matlab] lifting_97

Description: 本程序实现任意偶数大小图像第二代双正交97提升小波变换 注1： 采用标准正交方法，对行列采用不同矩阵（和matlab里不同） 注2： 为了保证正交，所有边界处理，全部采用循环处理 注3： 正交性验证，将单位阵带入函数，输出仍是单位阵（matlab不具有此性质） 注4： 此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 注5： 此程序实现的是类小波（wavelet-like）变换，是介于小波包变换与小波变换之间的变换 注6： 此程序每层变换相对原图像矩阵，产生的矩阵都是正交阵，这和小波包一致 注7： 但小波变换每层产生的矩阵，是相对每个待分解子块的正交矩阵，而不是原图像的正交矩阵 注8： 且小波变换产生的正交矩阵维数，随分解层数2分减少 注9: 提升系数可以在MATLAB7.0以上版本，用liftwave( 9.7 )获取，这里直接给出，考虑兼容性 注10：由于MATLAB数组下标从1开始，所以注意奇偶序列的变化 注11：d为对偶上升，即预测；p为原上升，即更新-err
Platform: | Size: 2048 | Author: | Hits:

[matlab] Matlab_GUI

Description: 第七章 GUIDE入门 7.1 概述 7.2 图形句柄入门 7.3 GUIDE工具入门 7.4 创建图形用户界面外观 7.5 图形用户界面编程 7.6 常用的图形界面函数 7.7 本章小结 -Chapter VII GUIDE overview 7.2 Introduction 7.1 Introduction 7.3 GUIDE handle graphics tools to create entry-7.4 Appearance 7.5 graphical user interface graphical user interface programming 7.6 graphical interface function commonly used in this chapter 7.7 Summary
Platform: | Size: 1376256 | Author: 军军 | Hits:

[AI-NN-PR] mani

Description: mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions. MANI Website: httP://www.math.umn.edu/~wittman/mani/index.html Last Modified by GUIDE v2.5 10-Apr-2005 13:28:36 Methods obtained from various authors. (1) MDS -- Michael Lee (2) ISOMAP -- J. Tenenbaum, de Silva, & Langford (3) LLE -- Sam Roweis & Lawrence Saul (4) Hessian LLE -- D. Donoho & C. Grimes (5) Laplacian -- M. Belkin & P. Niyogi (6) Diffusion Map -- R. Coifman & S. Lafon (7) LTSA -- Zhenyue Zhang & Hongyuan Zha -mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions. MANI Website: httP://www.math.umn.edu/~wittman/mani/index.html Last Modified by GUIDE v2.5 10-Apr-2005 13:28:36 Methods obtained from various authors. (1) MDS-- Michael Lee (2) ISOMAP-- J. Tenenbaum, de Silva, & Langford (3) LLE-- Sam Roweis & Lawrence Saul (4) Hessian LLE-- D. Donoho & C. Grimes (5) Laplacian-- M. Belkin & P. Niyogi (6) Diffusion Map-- R. Coifman & S. Lafon (7) LTSA-- Zhenyue Zhang & Hongyuan Zha
Platform: | Size: 14336 | Author: suxin | Hits:

[matlab] matlab7.6(R2008a)

Description: 这是关于matlab7.6（R2008a）的英文版的电子书籍，详细介绍了软件的功能。-This is on matlab7.6 (R2008a) The English version of the e-books, detailing the functions of the software.
Platform: | Size: 1652736 | Author: 张洪杰 | Hits:

[Wavelet] WaveletTransformsinMATLAB

Description: 执行一维和二维小波变换在MATLAB环境中。十几包括的小波函数有： * Haar * Daubechies 1-6 * Symlets 1-6 * Coiflets 1 and 2 * Splines and reverse splines * CDF 9/7 and Le Gall 5/3 * S+P wavelets (2,2), (4,2), (4,4), (6,2), and (2+2,2) * Two Ten "TT" * Low-complexity design * HVS design Visual 9/3 -Description Perform 1D and 2D wavelet transforms in MATLAB. WAVELET(W,L,X) computes the L-stage discrete wavelet transform (DWT) of signal X using wavelet W. For the inverse transform, WAVELET(W,-L,X) inverts L stages. Included wavelets are * Haar * Daubechies 1-6 * Symlets 1-6 * Coiflets 1 and 2 * Splines and reverse splines * CDF 9/7 and Le Gall 5/3 * S+P wavelets (2,2), (4,2), (4,4), (6,2), and (2+2,2) * Two Ten "TT" * Low-complexity design * HVS design Visual 9/3
Platform: | Size: 10240 | Author: chen huayi | Hits:

[GPS develop] navigation

Description: 卫星导航课件第3章 GPS系统与信号.ppt第4章 GLONASS卫星导航系统.ppt第5章 基本定位算法.ppt第6章 卫星导航系统误差分析.ppt第7章 卫星导航增强系统.ppt第8章 组合导航系统.ppt-Satellite navigation software in Chapter 3 GPS systems and signals. Ppt Chapter 4 GLONASS satellite navigation system. Ppt Chapter 5 of the basic positioning algorithm. Ppt Chapter 6 Error analysis of satellite navigation systems. Ppt Chapter 7 satellite navigation augmentation system. Ppt article Chapter 8, Navigation System. ppt
Platform: | Size: 11898880 | Author: 王强 | Hits:

[Special Effects] Character_Recognition_Training__NN_for_classificat

Description: 图像特征识别通过神经网络训练方法实现，是学习参考的好资料-you will need first to run the file that name "charGUI4.fig" and on the right side there is a load training set where you have to train the system first, run any data that is should be from 1 to 9 and 0 like ( 1 2 3 4 5 5 6 7 8 9 0) as many line as you want so if you have a traning data that is 10 columns by 5 lines then you have to assign that to the small boxes that name column and line. right now keep the#words as is because I plan to use it but I change my mind so that it is automatically count the word for you. after you train the system then load any image test, from the "Load Image" once you upload the image then choose the "select" and then go to the uploaded image and select whatever you want to recognize, after that select "crop" to crop the exact part that you want to recognize after that selcet "Features Extraction" to extract the features after that choose the "recognize" to see the results up on the result box. P.S. keep in mind that the program has been tested on the
Platform: | Size: 709632 | Author: 反对撒 | Hits:

[Software Engineering] VC6_0_MATLAB7_x

Description: 　VC + + 与MATLAB 混合编程,可以将VC 优秀的可视化编程能力和MATLAB 强大的计算能力结合起来。 分析了C 语言与MATLAB7. x 在接口的特点,详细介绍了VC + + 6. 0 与MATLAB7. x 混合编程的三种方法: MATLAB 引擎、MATLAB 编译器和MATLAB COM 编译器。比较分析了各种方法的适用范围,介绍了发布混编程序的方法。-　Wit h t he combination of VC++ and MA TLAB , t he p ower of VC++ in inte rf ace p rogramming and t he p owe r of MA TLAB in comp uting are well combined. The interf ace cha racte ristic MA TLAB 7. x wit h C is analyzed. Three ways of combination p rogramming f or MA TLAB 7. x and VC++ 6. 0 a re int roduced in detail : wit h MA TLAB engine , wit h MA TLAB Compiler and wit h MA TLAB Builde r f or COM. The p rope r context of dif f e rent ways is int roduced and com2 p a red. The ways of releasing t he combination p rogram is int roduced
Platform: | Size: 277504 | Author: wang han | Hits:

[Algorithm] MathematicalModelingandMathematical

Description: 数学建模与数学实验（第3版） 第1讲 数学建模简介 第2讲 MATLAB入门 第3讲 MATLAB作图 第4讲 线性规 第5讲 无约束优化划 第6讲 非线性规划 第7讲 微分方 第8讲 最短路问题程 第9讲 行遍性问题-Mathematical Modeling and Mathematical Experiments (3rd edition) Section 1 Introduction to Mathematical Modeling 2 speakers talk about MATLAB Getting Started Part 3 MATLAB Mapping Part 4 Regulations Part 5 non-linear constrained optimization is zoned 6 nonlinear programming talk section 7 talk about differential side Part 8-way 9 the shortest path problem over the issue of speaking lines
Platform: | Size: 8662016 | Author: lemon | Hits:

[Graph Drawing] edt-examples

Description: The ElastoDynamics Toolbox is a MATLAB toolbox to model wave propagation in layered media. It is based on the direct stiffness method and the thin layer method [10, 12]. The toolbox can be used to solve a variety of problems governed by wave propagation in the soil: Site amplification Site amplification is an important issue in the assessment of the seismic hazard at sites where the top soil layers are particularly soft. In such cases, the seismic motion at the surface can be much higher than the outcrop motion due to resonance of the soft layers-This chapter describes how to start using the ElastoDynamics Toolbox (EDT) for MATLAB. The chapter is organized as follows: About the ElastoDynamics Toolbox (p. 1) The ElastoDynamics Toolbox for MATLAB is briefly introduced. Obtaining and installing EDT (p. 1) This section explains where to get EDT and how to install it. Terms of use (p. 3) The terms and conditions to use of EDT are summarized. It is shown how to refer to EDT in scientific publications. Scope and structure of this document (p. 3) The aim of this user’s guide is delineated and the organization of the text is clarified.
Platform: | Size: 25600 | Author: 侯强 | Hits:

[Other] MATLAB_Books_Collection

Description: 一共是8本英文电子书籍。书名详细见英文部分描述。-1、An Introduction to Programming and Numerical Methods in MATLAB- S.R. Otto & J.P. Denier 2、Computational Statistics Handbook with MATLAB- Martinez & Martinez 3、Environmental Modeling Using MATLAB- Ekkehard Holzbecher 4、MATLAB Programming- David Kuncicky 5、Numerical Analysis Using MATLAB and Excel- Steven T. Karris 6、Numerical Analysis Using MATLAB and Spreadsheets- Steven T. Karris 7、Numerical Methods in Engineering with MATLAB- Jaan Kiusalaas 8、Spectral Methods in MATLAB- Lloyd N. Trefethen 9、Vibration Simulation Using MATLAB and ANSYS- Michael R Hatch
Platform: | Size: 39681024 | Author: weichong | Hits:

[VHDL-FPGA-Verilog] xb

Description: 用汉宁窗设计一个FIR高通数字滤波器，满足以下参数要求：通带边界频率ωp=0.7π，通带内衰减函数αp=0.4dB；阻带边界频率Ωs=0.4π，阻带内衰减函数为αs=55dB。-With the Hanning window design an FIR high-pass digital filter to meet the requirements the following parameters: passband edge frequency ωp = 0.7π, pass-band attenuation function αp = 0.4dB stop-band edge frequency Ωs = 0.4π, stop-band attenuation within the function αs = 55dB.
Platform: | Size: 125952 | Author: xbwu1 | Hits:

[matlab] Direct_sequence_spread_spectrum

Description: Assume that a direct sequence spread spectrum system uses the Barker code of length 7 (N=7) as its spreading sequence. a. Randomly generate 8 symbols (d0~d7) from the set {+1,-1}. b. If each chip of the Barker code is denoted as cj, j=0~6, spread each symbol di by the Barker code. (Please refer to p. 17 of the slides.) Use “stem” to plot the signals before spreading and after spreading
Platform: | Size: 12288 | Author: yuhchen | Hits:

[matlab] lifting_97

Description: 实现9/7小波正反变换 注1： 采用标准正交方法，对行列采用不同矩阵（和matlab里不同） 注2： 为了保证正交，所有边界处理，全部采用循环处理 注3： 正交性验证，将单位阵带入函数，输出仍是单位阵（matlab不具有此性质） 注4： 此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 注5： 此程序实现的是类小波（wavelet-like）变换，是介于小波包变换与小波变换之间的变换 注6： 此程序每层变换相对原图像矩阵，产生的矩阵都是正交阵，这和小波包一致 注7： 但小波变换每层产生的矩阵，是相对每个待分解子块的正交矩阵，而不是原图像的正交矩阵 注8： 且小波变换产生的正交矩阵维数，随分解层数2分减少 注9: 提升系数可以在MATLAB7.0以上版本，用liftwave( 9.7 )获取，这里直接给出，考虑兼容性 注10：由于MATLAB数组下标从1开始，所以注意奇偶序列的变化 注11：d为对偶上升，即预测；p为原上升，即更新-Note 1: The standard orthogonal method, the ranks of the different matrices (and matlab where different) Note 2: In order to ensure orthogonality, all boundary treatment, all with recycling Note 3: Orthogonal validation, the identity matrix into the function, the output is still the unit matrix (matlab does not have this property) Note 4: This program is a matrix to achieve, so the image horizontal and vertical components is estimated to be swapped Note 5: This class implements the wavelet (wavelet-like) transformation, is between the wavelet packet transform and wavelet transform between Note 6: This procedure transforms each image relative to the original matrix, the resulting matrix are orthogonal matrix, consistent with this and wavelet packet Note 7: But each generation wavelet transform matrix, is to be broken down for each sub-block relative to the orthogonal matrix, rather than the original image of the orthogonal matrix Note 8: Wavelet transf
Platform: | Size: 2048 | Author: 徐程序 | Hits:

[matlab] Applied-Statistics-Using-MATLAB

Description: Applied Statistics Using SPSS,STATISTICA,MATLAB and R Joaquim P. ISBN 978-3-540-71971-7 Springer Berlin Heidelberg New York-Applied Statistics Using SPSS, STATISTICA,MATLAB and R Inclusion of R as an application tool. As a matter of fact, R is a free software product which has nowadays reached a high level of maturity and is being increasingly used by many people as a statistical analysis tool. Chapter 3 has an added section on bootstrap estimation methods, which have gained a large popularity in practical applications. A revised explanation and treatment of tree classifiers in Chapter 6 with the inclusion of the QUEST approach. Several improvements of Chapter 7 (regression), namely: details concerning the meaning and computation of multiple and partial correlation coefficients, with examples a more thorough treatment and exemplification of the ridge regression topic more attention dedicated to model evaluation.
Platform: | Size: 6702080 | Author: ABC | Hits:

[Other] MATLAB-Music-spectrum-analyze

Description: 音樂訊號處理分析 一、音樂信號的時譜和頻譜觀察(p.2-p.3) 二、音樂信號的採樣(p.4-p.9) 使用的分析軟體：MATLAB 7.7 R2008b 實驗使用音檔：許大為MATLAB實驗音檔.wav 音檔原始時長：3 seconds -Music signal processing analysis I, II, and spectrum observed spectral sampling music signal (p.2-p.3) music signal (p.4-p.9) using analysis software: MATLAB 7.7 R2008b experiments using sound files : Xu Dawei MATLAB experimental sound wav sound file when the original file length: 3 seconds
Platform: | Size: 223232 | Author: | Hits:

[matlab] MATLAB

Description: 多个神经元分类，又称模式联想。对如下输入、输出样本进行分类。要求用MATLAB画出最后的线形图。 p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0 -0.3 -0.5 -1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8 -1.5 -1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1]-Multiple neurons classification, lenovo is also called the mode.Classify the following input and output sample.The last line diagram to use MATLAB to draw. p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0-0.3-0.5-1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8-1.5-1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1]
Platform: | Size: 1024 | Author: hou | Hits:
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