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Eslami_HWD_Toolbox (1)

于 2021-04-01 发布 文件大小:1528KB
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代码说明：

  小波基contourlet变换 其中包含spiht编码 去噪 纹理识别(Wavelet transform contourlet transform includes SPIHT coding and denoising texture recognition.)

文件列表：

Eslami_HWD_Toolbox (1)\barb512.gif, 287781 , 2003-04-24
Eslami_HWD_Toolbox (1)\barbara.png, 177851 , 2003-11-11
Eslami_HWD_Toolbox (1)\bivariate_TIHWD.m, 2880 , 2010-05-10
Eslami_HWD_Toolbox (1)\bivariate_TIWT.m, 781 , 2010-05-10
Eslami_HWD_Toolbox (1)\cellabs.m, 252 , 2009-12-15
Eslami_HWD_Toolbox (1)\celllargest.m, 315 , 2008-04-03
Eslami_HWD_Toolbox (1)\cellmax.m, 256 , 2008-04-03
Eslami_HWD_Toolbox (1)\cellmin.m, 255 , 2008-04-03
Eslami_HWD_Toolbox (1)\cellsort.m, 394 , 2008-04-03
Eslami_HWD_Toolbox (1)\cellthresh.m, 399 , 2008-04-03
Eslami_HWD_Toolbox (1)\cellwavelet.m, 922 , 2008-04-03
Eslami_HWD_Toolbox (1)\circularshift.m, 120 , 2008-04-03
Eslami_HWD_Toolbox (1)\clip.m, 139 , 2010-05-10
Eslami_HWD_Toolbox (1)\DFB.m, 1058 , 2008-04-03
Eslami_HWD_Toolbox (1)\dfb_2s.m, 1191 , 2008-04-03
Eslami_HWD_Toolbox (1)\dfb_2_hs.m, 958 , 2008-04-03
Eslami_HWD_Toolbox (1)\dfb_2_vs.m, 939 , 2008-04-03
Eslami_HWD_Toolbox (1)\dfb_3s.m, 2265 , 2008-04-03
Eslami_HWD_Toolbox (1)\dfb_3_hs.m, 1246 , 2008-04-03
Eslami_HWD_Toolbox (1)\dfb_3_vs.m, 1206 , 2008-04-03
Eslami_HWD_Toolbox (1)\dfb_4s.m, 3255 , 2008-04-03
Eslami_HWD_Toolbox (1)\dfb_4_hs.m, 1765 , 2008-04-03
Eslami_HWD_Toolbox (1)\dfb_4_vs.m, 1691 , 2008-04-03
Eslami_HWD_Toolbox (1)\DFB_prep.m, 3526 , 2009-12-09
Eslami_HWD_Toolbox (1)\downsample2.m, 152 , 2008-04-03
Eslami_HWD_Toolbox (1)\enlarge.m, 313 , 2008-04-03
Eslami_HWD_Toolbox (1)\entropy.m, 179 , 2009-12-09
Eslami_HWD_Toolbox (1)\Example.m, 1417 , 2018-10-07
Eslami_HWD_Toolbox (1)\filt1d.m, 286 , 2008-04-03
Eslami_HWD_Toolbox (1)\filt2d.m, 297 , 2008-04-03
Eslami_HWD_Toolbox (1)\filt2d_sep.m, 654 , 2008-04-03
Eslami_HWD_Toolbox (1)\frequency1.m, 447 , 2009-12-09
Eslami_HWD_Toolbox (1)\gendownsample.m, 833 , 2009-12-15
Eslami_HWD_Toolbox (1)\genupsample.m, 697 , 2009-12-15
Eslami_HWD_Toolbox (1)\HWD coding example.m, 861 , 2018-10-22
Eslami_HWD_Toolbox (1)\HWD.m, 2904 , 2010-05-10
Eslami_HWD_Toolbox (1)\HWDnonapp.m, 175 , 2008-04-03
Eslami_HWD_Toolbox (1)\HWD_denoise.m, 1107 , 2010-05-10
Eslami_HWD_Toolbox (1)\HWD_prep.m, 224 , 2009-12-09
Eslami_HWD_Toolbox (1)\icellwavelet.m, 909 , 2008-04-03
Eslami_HWD_Toolbox (1)\iDFB.m, 1166 , 2008-04-03
Eslami_HWD_Toolbox (1)\idfb_2s.m, 1526 , 2008-04-03
Eslami_HWD_Toolbox (1)\idfb_2_hs.m, 1220 , 2008-04-03
Eslami_HWD_Toolbox (1)\idfb_2_vs.m, 1126 , 2008-04-03
Eslami_HWD_Toolbox (1)\idfb_3s.m, 2217 , 2008-04-03
Eslami_HWD_Toolbox (1)\idfb_3_hs.m, 1299 , 2008-04-03
Eslami_HWD_Toolbox (1)\idfb_3_vs.m, 1260 , 2008-04-03
Eslami_HWD_Toolbox (1)\idfb_4s.m, 4082 , 2008-04-03
Eslami_HWD_Toolbox (1)\idfb_4_hs.m, 2274 , 2008-04-03
Eslami_HWD_Toolbox (1)\idfb_4_vs.m, 2130 , 2008-04-03
Eslami_HWD_Toolbox (1)\iDFB_prep.m, 3434 , 2009-12-09
Eslami_HWD_Toolbox (1)\iHWD.m, 712 , 2008-04-03
Eslami_HWD_Toolbox (1)\iHWD_prep.m, 895 , 2009-12-09
Eslami_HWD_Toolbox (1)\ishqresample.m, 821 , 2008-04-03
Eslami_HWD_Toolbox (1)\iTIHWD.m, 1665 , 2010-05-10
Eslami_HWD_Toolbox (1)\iTIWT.m, 642 , 2010-05-10
Eslami_HWD_Toolbox (1)\lena.bmp, 263222 , 2018-02-08
Eslami_HWD_Toolbox (1)\mirrorextend.m, 582 , 2010-05-10
Eslami_HWD_Toolbox (1)\msample.m, 3096 , 2008-04-03
Eslami_HWD_Toolbox (1)\psnr2.m, 232 , 2009-12-15
Eslami_HWD_Toolbox (1)\qfb2.mat, 82672 , 2003-08-11
Eslami_HWD_Toolbox (1)\qfb3.mat, 164480 , 2003-08-19
Eslami_HWD_Toolbox (1)\qfb4.mat, 2367168 , 2003-08-19
Eslami_HWD_Toolbox (1)\removezero.m, 379 , 2008-04-03
Eslami_HWD_Toolbox (1)\resample.m, 899 , 2009-12-09
Eslami_HWD_Toolbox (1)\shift1d.m, 176 , 2008-04-03
Eslami_HWD_Toolbox (1)\shqresample.m, 1002 , 2008-04-03
Eslami_HWD_Toolbox (1)\SignificantCheck.m, 1231 , 2005-07-26
Eslami_HWD_Toolbox (1)\SPIHT_decode.m, 7991 , 2005-12-05
Eslami_HWD_Toolbox (1)\SPIHT_encode.m, 6539 , 2018-10-11
Eslami_HWD_Toolbox (1)\SPIHT_rdh.m, 346 , 2009-12-15
Eslami_HWD_Toolbox (1)\TIHWD.m, 2928 , 2010-05-10
Eslami_HWD_Toolbox (1)\TIHWD_denoise.m, 1440 , 2010-05-10
Eslami_HWD_Toolbox (1)\TIWT.m, 674 , 2010-05-10
Eslami_HWD_Toolbox (1)\TIWT_denoise.m, 1232 , 2010-05-10
Eslami_HWD_Toolbox (1)\triplet_2dfan.m, 1257 , 2008-04-03
Eslami_HWD_Toolbox (1)\triplet_DFB.m, 5210 , 2008-04-03
Eslami_HWD_Toolbox (1)\triplet_iDFB.m, 5089 , 2008-04-03
Eslami_HWD_Toolbox (1)\triplet_iTIDFB_up.m, 5622 , 2010-05-10
Eslami_HWD_Toolbox (1)\triplet_TIDFB_up.m, 5844 , 2010-05-10
Eslami_HWD_Toolbox (1)\upsample2.m, 182 , 2008-04-03
Eslami_HWD_Toolbox (1)\Wnonapp.m, 178 , 2008-04-03
Eslami_HWD_Toolbox (1)\wrapadjust.m, 439 , 2008-04-03
Eslami_HWD_Toolbox (1)\WT_denoise.m, 962 , 2010-05-10
Eslami_HWD_Toolbox (1)\zelda.tif, 262912 , 2018-04-12
Eslami_HWD_Toolbox (1), 0 , 2018-10-19

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  • electric1
    利用小波变换实现对电能质量检测的算法实现(using wavelet transform to detect power quality algorithm)
    2007-01-17 16:24:47下载
    积分：1
  • 功率谱
    说明：  利用此代码绘制声信号的功率谱，显示功率谱线。普通音频文件均可实现(Drawing power spectrum)
    2021-01-22 14:32:24下载
    积分：1
  • wavelet_denoise1
    利用小波变换对图像去噪，可以运行，并附有详细的说明，本人编写，感觉不错！欢迎共享.(Using Wavelet Transform for Image Denoising, you can run, together with detailed instructions, I prepared, I feel good! Welcome to share.)
    2008-02-28 13:30:58下载
    积分：1
  • 利用小波变换系数重构图像，实现图像降噪地方法
    根据小波变换和噪声信号地能量分布特性，提出了一种先用小波变换对含噪图像进行多尺度分解，求出各尺度小波变换高频系数地噪声方差和阈值，利用各尺度地阈值对高频系数进行处理，然后利用小波变换系数重构图像，实现图像降噪地方法。(According to wavelet transform and noise signal and energy distribution characteristics, a first wavelet transform of the noisy image multiscale decomposition, obtained the high-frequency-scale wavelet transform coefficients and noise variance and thresholds, using the scale to the threshold value of the deal with high-frequency coefficients, and then the use of wavelet transform coefficients reconstructed image, to realize image denoising methods.)
    2020-07-04 03:00:02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
  • wavelet-matlab
    说明：  基于小波变换的图像融合源代码，利用的融合规则分别使用简单的模值取大和基于区域能量。(Image fusion based on wavelet transform source code, the use of fusion rule modulus were obtained using a simple large and region-based energy.)
    2021-05-09 01:38:35下载
    积分：1
  • wave_denoise
    此程序仿真了一个被污染了的信号源，然后通过小波去噪，成功取出了信号中的杂波(This procedure simulation has polluted the supply oscillator, then through the wavelet denoising, the success took out in the signal clutter )
    2012-04-09 09:52:31下载
    积分：1
  • DIGITAL-WARTERMARKING
    使用DCT和小波变换的数字音频水印生成/解码程序，可存活于方差0.05的高斯白噪声及不同程度的剪切。内含程序/测试文件介绍。(Digital wartermarking encoding/decoding program with DCT and wavelet transform. nice robustness against Gaussian noise with variance less than 0.05 and any type of cropping attack. functions/test files introduction included)
    2013-08-18 22:31:47下载
    积分：1
  • Wavelet-Shrinkage_-Asymptopia_
    小波变换阈值去噪的文章，基于最大最小准则计算(Minimax Estimation, Adaptive Estimation, Nonparametric Regression, Density Estimation, Spatial Adaptation, Wavelet Orthonormal bases, BesovSpaces, Optimal Recovery.)
    2016-12-13 21:12:50下载
    积分：1
  • shipinfenxi-
    用stft、小波变换、EMD分别对突变信号进行时频分析(With stft, wavelet transform, EMD mutations were signals of time-frequency analysis)
    2011-05-16 14:43:58下载
    积分：1
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