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小波变换工具箱

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  • 开发语言:Others
  • 实例大小:6.17M
  • 下载次数:0
  • 浏览次数:9
  • 发布时间:2020-10-25
  • 实例类别:一般编程问题
  • 发 布 人:robot666
  • 所需积分:2
 

实例介绍

【实例简介】
主要是应用于matlab,把小波变换工具箱应用于该软件,可直接调用其中的函数
y March 1997 First printing New for Version 1.0 September 2000 Second printing Revised for Version 2.0( Release 12) June 2001 Online only Revised for Version 2.1 (Release 12.1) July 2002 Online only Revised for Version 2.2 (Release 13) June 2004 Online only Revised for Version 3.0 Release 14) July 2004 Third printing Revised for Version 3.0 October 2004 Online only Revised for Version 3.0. 1 (Release 14SP1) March 2005 Online only Revised for Version 3.0.2(Release 14$P2) June 2005 Fourth printing Minor revision for version 3.0.2 September 2005 Online only Minor revision for Version 3.0.3(Release R14SP3) March 2006 Online only Minor revision for Version 3.0.4 (Release 2006a) September 2006 Online only Revised for Version 3. 1 (Release 2006b) March 2007 Online only Revised for Version 4.0( Release 2007a) September 2007 Online only Revised for Version 4.1(Release 2007b) October 2007 Fifth printing Revised for Version 4.1 March 2008 Onli Revised for Version 4.2(Release 2008a) October 2008 Online only Revised for Version 4.3( Release 2008b) March 2009 Onli Revised for Version 4.4(Release 2009a) September 2009 Online only Minor revision for Version 4.4.1(Release 2009b March 2010 Online only Revised for Version 4.5( Release 2010a) September 2010 Online only Revised for Version 4.rElease 2010b) april 2011 Online only Revised for Version 4.7(Release 201la September 2011 Online only Revised for Version 4.8(Release 2011b) March 2012 Online only Revised for Version 4.9(Release 2012a September 2012 Online only Revised for Version 4.10(Release 2012b March 2013 Online only Revised for Version 4.11(Release 2013a) September 2013 Online only Revised for Version 4.12(Release 2013b) March 2014 Onli Revised for Version 4.13( Release 2014a) October 2014 Online only Revised for Version 4.14 Release 2014b) March 2015 Online only Revised for Version 4.14.1 (Release 2015a) Contents Getting Started with Wavelet Toolbox Software Wavelet Toolbox Product Description 1-2 Key Features 1-2 Installing Wavelet Toolbox Software 1-3 System Recommendations 1- Platform-Specific Details 1-3 Wavelets: Tools for Sparse Representation 1-5 What is a wavelet? 1-5 Localize discontinuity in Sine Wave 1-5 From Fourier analysis to Wavelet Analysis 1-10 Inner Products 1-10 Fourier transform 1-12 Short-Time fourier transform 1-14 Continuous wavelet Transform 1-17 Definition of the Continuous wavelet Transform 1-17 Scale 1-18 Shifting 1-22 CWT as a Windowed Transform 1-22 CWT as a Filtering Technique 1-23 DFT-Based Continuous Wavelet Transform 1-25 Inverse Continuous wavelet transform 1-26 Continuous Wavelet Transform Algorith 1-28 Interpreting CWT coefficients 1-30 Redundancy in the Continuous Wavelet Transform 1-45 Critically-Sampled Discrete Wavelet Transform 1-46 One-Stage Filtering: Approximations and details 1-46 Multiple- Level Decomposition 1-49 Critically-Sampled Wavelet Reconstruction 1-51 Reconstruction Filt 1-52 Reconstructing Approximations and details 1-52 Wavelets From Conjugate Mirror Filters 1-54 Wavelet Packet Analysis 1-56 Introduction to Wavelet Families 1-58 Haar 1-59 Daub 1-59 Biorthogonal 1-60 C outlets 1-62 omits 1-62 Morlet 1-62 Mexican hat 1-63 Meyer 1-63 Other real wavelet 1-64 Complex wavelets 1-64 Reference 1-65 Using Wavelets 2 Introduction to wavelet Toolbox Guis and functions 2-2 Wavelets: Working with Images 2-3 2-3 Wavelet Decomposition of Indexed Images 2-4 RGB Truecolor) Images 2-5 Wavelet Decomposition of Truecolor Images 2-5 Other Images 2-6 Image conversion 2-6 One-Dimensional wavelet Density Estimation 2-10 One-Dimensional Estimation Using the Graphical Interface 2-10 Importing and exporting Information from the graphical i Contents Interactive 1-D Wavelet Coefficient selection 2-15 Interactive 2-D Wavelet coefficient selection 2-24 One-Dimensional extension 2-30 One-Dimensional Extension Using the Command Line 2-30 One-Dimensional Extension Using the Graphical Interface 2-30 Importing and Exporting Information from the graphical Interface 2-36 Two-Dimensional extension 2-37 Two-Dimensional Extension Using the Command line 2-37 Two-Dimensional Extension Using the graphical Interface 2-37 Importing and Exporting Information from the graphical terface 2-38 Image Fusion 2-40 Image Fusion Using the Command Line 2-40 Image Fusion Using the graphical Interface 2-42 One-Dimensional Fractional Brownian Motion Synthesis 2-48 Fractional Brownian Motion Synthesis Using the Command Li 2-48 Fractional Brownian Motion Synthesis Using the graphical Interface 2-49 Saving the synthesized signal 2-52 New wavelet for CWT 2-54 New Wavelet for Cwt using the command Line 2-54 New Wavelet for CWT Using the Graphical Interface 2-56 Saving the New Wavelet 2-63 Getting Started with Wavelet Analysis 3 Wavelet Families and Properties 3-2 Visualizing wavelets, Wavelet Packets, and wavelet Filters 3-5 Continuous Wavelet Analysis 3-8 DFT-Based Continuous Wavelet Transform and inverse Continuous wavelet Transform 3-10 Critically-Sampled Discrete Wavelet Analysis 3-14 1-d Wavelet Denoising 3-14 2-D Decimated Discrete Wavelet Analysis 3-16 Lifting 3-19 Nondecimated Discrete Wavelet Analysis 3-23 Critically Sampled Wavelet Packet Analysis 3-26 Matching Pursuit 3-28 Contents Getting Started with Wavelet Toolbox Software Wavelet Toolbox Product Description"on page 1-2 Installing Wavelet Toolbox Software"on page 1-3 Wavelets: Tools for Sparse Representation,"on page 1-5 From Fourier Analysis to Wavelet Analysis"on page 1-10 “ Continuous Wavelet transform” on page1-17 Critically-Sampled Discrete Wavelet Transform"on page 1-46 Critically-Sampled wavelet reconstruction" on page 1-51 Wavelet Packet Analysis"on page 1-56 Introduction to Wavelet Families "on page 1-58 “ References” on page165 1 Getting Started with Wavelet Toolbox Software avelet Toolbox Product Description Analyze and synthesize signals and images using wavelet techniques Wavelet Toolbox provides functions and an app for developing wavelet-based algorithms for the analysis, synthesis, denoising, and compression of signals and images The toolbox lets you explore wavelet properties and applications such as speech and audio processing, image and video processing biomedical imaging, and 1-D and 2-D applications in communications and geophysics Key features Wavelet and signal processing utilities, including a function to convert scale to frequency Methods for adding wavelet families Lifting methods for constructing wavelets Customizable presentation and visualization of data Wavelet Design and Analysis app for continuous and discrete wavelet analysis Wavelet packets, implemented as MaTLAB objects One-dimensional multisignal analysis, compression, and denoising Multiscale principal component analysis Multivariate denoising 1-2 【实例截图】
【核心代码】

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