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yawtb

于 2021-01-09 发布 文件大小:4843KB
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  二维连续小波变换，以及高维连续小波变化，简单易懂！！(Mainly includes two dimensional continuous wavelet transform and higher dimensional continuous wavelet transform and its application!!)

文件列表：

yawtb
.....\htm" target=_blank>AUTHORS,280,2002-01-06
.....\htm" target=_blank>Changelog,224,2007-09-20
.....\Changelog.raw,68279,2002-11-27
.....\continuous
.....\..........\1d
.....\..........\..\cgt1d.m,5207,2007-03-21
.....\..........\..\cwt1d.m,6604,2004-05-17
.....\..........\..\null.is_in_mpath,0,2005-05-18
.....\..........\..\wave_defs
.....\..........\..\.........\dgauss1d.m,2607,2003-10-28
.....\..........\..\.........\gauss1d.m,2222,2004-01-02
.....\..........\..\.........\mexican1d.m,2648,2004-03-03
.....\..........\..\.........\morlet1d.m,2742,2002-07-02
.....\..........\..\.........\null.is_in_mpath,0,2005-05-18
.....\..........\..\.........\htm" target=_blank>README,1084,2002-03-05
.....\..........\..\.........\sdog1d.m,2638,2002-07-02
.....\..........\..\win_defs
.....\..........\..\........\gauss1d.m,2550,2002-07-02
.....\..........\..\........\null.is_in_mpath,0,2005-05-18
.....\..........\..\yashow_cgt1d.m,4623,2007-03-21
.....\..........\..\yashow_cwt1d.m,5684,2004-05-17
.....\..........\1dt
.....\..........\...\cwt1dt.m,7350,2002-11-21
.....\..........\...\null.is_in_mpath,0,2005-05-18
.....\..........\...\wave_defs
.....\..........\...\.........\mexican1dt.m,2984,2002-07-03
.....\..........\...\.........\morlet1dt.m,2634,2002-07-03
.....\..........\...\.........\null.is_in_mpath,0,2005-05-18
.....\..........\...\yashow_cwt1dt.m,8058,2002-11-21
.....\..........\2d
.....\..........\..\cwt2d.m,11854,2004-08-24
.....\..........\..\null.is_in_mpath,0,2005-05-18
.....\..........\..\samcwt2d.m,4717,2002-04-23
.....\..........\..\sarcwt2d.m,7053,2003-06-24
.....\..........\..\wave_defs
.....\..........\..\.........\cauchy2d.m,3630,2003-03-13
.....\..........\..\.........\dergauss2d.m,2781,2014-07-16
.....\..........\..\.........\dog2d.m,2665,2001-10-21
.....\..........\..\.........\endstop1.m,3106,2002-01-11
.....\..........\..\.........\endstop2.m,3592,2001-10-21
.....\..........\..\.........\es2cauchy2d.m,3680,2003-03-13
.....\..........\..\.........\es2morlet2d.m,2742,2003-03-13
.....\..........\..\.........\esmex2d.m,3135,2001-12-18
.....\..........\..\.........\gabor2d.m,2524,2002-07-25
.....\..........\..\.........\gauss2d.m,2334,2014-07-16
.....\..........\..\.........\gaussx2d.m,2999,2001-10-28
.....\..........\..\.........\gaussz2d.m,3302,2001-10-28
.....\..........\..\.........\isdog2d.m,2759,2003-08-13
.....\..........\..\.........\isomor2d.m,2697,2003-07-15
.....\..........\..\.........\mexican2d.m,3073,2003-07-08
.....\..........\..\.........\mexican2d_ctr.m,3082,2001-10-21
.....\..........\..\.........\morlet2d.m,2726,2003-03-13
.....\..........\..\.........\null.is_in_mpath,0,2005-05-18
.....\..........\..\.........\pethat2d.m,3013,2003-07-10
.....\..........\..\.........\htm" target=_blank>README,609,2001-03-15
.....\..........\..\.........\rmorlet2d.m,2889,2003-02-19
.....\..........\..\.........\sdog2d.m,2660,2003-07-15
.....\..........\..\.........\sqdog2d.m,3024,2001-10-21
.....\..........\..\.........\wheel2d.m,2862,2002-06-04
.....\..........\..\yashow_cwt2d.m,6985,2002-07-25
.....\..........\..\yashow_samcwt2d.m,3007,2002-11-21
.....\..........\3d
.....\..........\..\cwt3d.m,6792,2008-09-09
.....\..........\..\null.is_in_mpath,0,2005-05-18
.....\..........\..\wave_defs
.....\..........\..\.........\mexican3d.m,2797,2008-09-09
.....\..........\..\.........\morlet3d.m,2689,2002-01-25
.....\..........\..\.........\null.is_in_mpath,0,2005-05-18
.....\..........\..\yashow_cwt3d.m,6575,2002-07-25
.....\..........\sphere
.....\..........\......\cwtsph.m,5712,2005-02-17
.....\..........\......\fcwtsph.m,6249,2007-09-20
.....\..........\......\null.is_in_mpath,0,2005-05-18
.....\..........\......\wave_defs
.....\..........\......\.........\.to_compile,113,2006-09-22
.....\..........\......\.........\dogsph.c,5106,2006-09-20
.....\..........\......\.........\dogsph.m,2839,2003-08-12
.....\..........\......\.........\emexicansph.c,5769,2006-09-26
.....\..........\......\.........\gausssph.c,4611,2006-09-20
.....\..........\......\.........\gaussxtan.m,69,2007-10-02
.....\..........\......\.........\gaussxxsph.c,5399,2006-09-20
.....\..........\......\.........\gaussxysph.c,5397,2006-09-20
.....\..........\......\.........\mexicansph.c,4494,2006-09-20
.....\..........\......\.........\morletsph.c,5419,2006-09-20
.....\..........\......\.........\morletsph.m,3055,2003-04-08
.....\..........\......\.........\null.is_in_mpath,0,2005-05-18
.....\..........\......\yashow_cwtsph.m,5049,2003-04-08
.....\htm" target=_blank>COPYING,15131,2001-07-16
.....\demos
.....\.....\denoising
.....\.....\.........\1d
.....\.....\.........\..\null.is_in_mpath,0,2005-05-18
.....\.....\.........\2d
.....\.....\.........\..\estimnoise2d.m,2432,2003-09-18
.....\.....\.........\..\fwt2d_denoise.m,6016,2004-11-05
.....\.....\.........\..\fwt2d_sthresh.m,1868,2003-08-14
.....\.....\.........\..\fwt2d_thresh.m,1898,2003-08-14
.....\.....\.........\..\null.is_in_mpath,0,2005-05-18
.....\.....\.........\sphere

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    图像小波变换，小波变换（wavelet transform，WT）是一种新的变换分析方法，它继承和发展了短时傅立叶变换局部化的思想，同时又克服了窗口大小不随频率变化等缺点，能够提供一个随频率改变的“时间-频率”窗口，是进行信号时频分析和处理的理想工具。它的主要特点是通过变换能够充分突出问题某些方面的特征，能对时间（空间）频率的局部化分析，通过伸缩平移运算对信号（函数)逐步进行多尺度细化，最终达到高频处时间细分，低频处频率细分，能自动适应时频信号分析的要求，从而可聚焦到信号的任意细节，解决了Fourier变换的困难问题，成为继Fourier变换以来在科学方法上的重大突破。(Image Wavelet Transform)
    2020-06-18 04:40:01下载
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    2015-11-17 15:05:17下载
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  • wavelet
    以labview为平台通过小波分析方法对波形进行处理。(Labview as a platform for analysis of the waveform by wavelet processing.)
    2011-12-28 16:12:20下载
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  • ChirpLab
    线调频小波路径追踪算法的程序，对研究瞬时频率估计有很大的参考价值。(Chirplet path tracing algorithm of the program, the study of instantaneous frequency is estimated that there is a great reference value.)
    2012-04-16 16:43:37下载
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  • xinhaochuli
    信号处理小波分析 1)计算信号的小波变换。 2)求出模极大曲线。 3)计算其中两个奇异点的Lipschitz指数。 (Signal processing wavelet analysis 1) the calculation of wavelet transform signals. 2) calculated curve of modulus maxima. 3) the calculation of which two singular points of Lipschitz index.)
    2021-01-29 12:58:40下载
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  • Wavelet-dec--rec
    在理解了离散小波变换的基本原理和算法的基础上，通过设计VC程序对简单的一维信 号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换，从而得到小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用，以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。(In understanding the basis of discrete wavelet transform basic principles and algorithms, through the design VC program Daubechies wavelet, Morlet wavelet and Haar wavelet transform after a simple one-dimensional signal plus a Gaussian white noise, resulting wavelet coefficients wavelet reconstruction signal again by changing the layers to achieve high-frequency coefficients decomposed noise cancellation purposes. Can intuitively understand wavelet decomposition and reconstruction process and an important role in signal de-noising in the process of implementation of this program, and in the high-frequency coefficients when the weight of the layers selected for signal processing coefficients denoising affected.)
    2014-07-10 18:16:49下载
    积分：1
  • xiaobo
    基于小波变换的信号去噪技术，简单的一维小波去噪程序(Signal de-noising based on wavelet transform technique, a simple one-dimensional wavelet denoising procedure)
    2014-02-24 12:55:42下载
    积分：1
  • wrcoef-upcoef
    一维小波单支重构函数，一维小波系数直接重构函数(Single one-dimensional reconstruction of wavelet functions, the direct reconstruction of one-dimensional wavelet function)
    2011-08-31 10:29:19下载
    积分：1
  • vulnerable_watermark
    基于TS变换（一种整数变换）所实现的脆弱数字水印方法，讨论了整数水印在数字水印中的优点(transform (a Integer Transform), the fragile digital watermarking methods, Integer discussed in the digital watermark of the benefits of watermarking)
    2006-06-10 15:22:32下载
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  • 2
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    2009-10-08 14:38:37下载
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