Description: 对信号进行小波变换，输出各尺度的小波系数，可以根据小波系数进行薄层测量和奇异点检测。-right signal wavelet transform, the output scale wavelet coefficients. according to TLC wavelet coefficients measured and singular point detection. Platform: |
Size: 1024 |
Author:聂颖 |
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Description: 图象对比度增强及小波系数的复原，包括完成图像对比度信息的增强及图像小波系数的复原。-Image Contrast Enhancement wavelet coefficients and the recovery, including the completion of the image brightness information and images to enhance the resilience of the wavelet coefficients. Platform: |
Size: 2048 |
Author:spacetall |
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Description: Included are the files wav1.m, wav2.m, wavecoef.mat and readme.
wav2 function implements the tree structured wavelet transform of the input matrix, up to the given level of decomposition. Wav2 uses another function called wav1, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coefficients are used for wavelet transform operation wahich is saved in wavcoeff.mat.
-Included are the files wav1.m, wav2.m. wavecoef.mat and readme. wav2 function biennium max the tree structured wavelet transform of t he input matrix. given up to the level of decomposition. Wav2 use s wav1 another function called, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coeffici separations are used for wavelet transform operation w ahich is saved in wavcoeff.mat. Platform: |
Size: 4096 |
Author:yupenghui |
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Description: 常规小波阈值去噪方法是在假定小波系数独立的条件下进行处理的,没有考虑到小
波系数在相邻尺度上的相关性.因此,也同样受到去噪和保留有用高频信息两难的困扰-Conventional wavelet thresholding denoising method is the assumption that the wavelet coefficients under the conditions of an independent deal with, and does not take into account the wavelet coefficients in adjacent scales of relevance. Therefore, it will also be useful by the de-noising and retain high-frequency information dilemma problems Platform: |
Size: 1024 |
Author:weiwei |
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Description: 基于小波变换的图像融合的设计主要可分为三个模块，即图像的小波变换模块、小波系数的融合模块和图像的小波重构模块。
在图像的小波变换部分，主要研究小波的构造。小波的种类有很多，此设计中实现了基于Haar小波、Daubechies小波、Symlets小波和Coiflets小波的图像融合。-Based on wavelet transform image fusion of design can be divided into three modules, namely image wavelet transform module, integration module wavelet coefficients of the wavelet reconstruction and image modules. Wavelet transform in the image of the main research Wavelets. There are many types of wavelet, the realization of this design based on the Haar wavelet, Daubechies wavelet, Symlets wavelet and wavelet image fusion Coiflets. Platform: |
Size: 1883136 |
Author:lidan |
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Description: 用小波变换,对其小波系数进行提取关系,计算图像的psnr,可以在此基础上用小波系数加水印或提特征.-Using wavelet transform, the wavelet coefficients extracted their relations, computing image psnr, can be used on the basis of the wavelet coefficients plus the characteristics of a watermark or mention. Platform: |
Size: 2048 |
Author:zhan |
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Description: 根据图像小波分解的特点和小波分解后高频小波系数的统计特性,构造了一种新阈值函数的去噪算法。
与传统的硬阈值、软阈值函数相比,新阈值函数考虑了图像能量分布的特点,对于每一小波系数乘以一个与自身大小相
关的降噪因子,并且新阈值函数简单易于计算,具有较强的自适应性-According to the characteristics of image wavelet decomposition and wavelet decomposition after the high-frequency statistical characteristics of wavelet coefficients, construct a new threshold function of the denoising algorithm. With the traditional hard threshold and soft threshold function, the new threshold function takes into account the characteristics of the image energy distribution, for each wavelet coefficient multiplied by a size associated with self-noise factor, and the new threshold function simple easy calculation, has a strong self-adaptability Platform: |
Size: 276480 |
Author:wang |
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Description: 一维信号的多小波分解程序，具体小波系数从coef系数文件中获取。需要先对一维信号进行预滤波-One-dimensional signals in multi-wavelet decomposition process, the specific wavelet coefficients from the coefficient coef document access. Need to signal to the one-dimensional pre-filtering Platform: |
Size: 1024 |
Author:岑翼刚 |
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Description: 把声音数据先进行小波分层然后各层进行mfcc系数提取-Voice data first and then layered on each floor to carry out wavelet coefficients MFCC extraction Platform: |
Size: 1024 |
Author:赵欣 |
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Description: 对输入的二维灰值图像，先进行提升Haar小波变换，再用经典的EZW算法对小波系数进行压缩，然后反变换重构原图像。-On the importation of two-dimensional gray value of images, first upgrade the Haar wavelet transform, and then classical EZW algorithm to compress the wavelet coefficients, and then inverse transform reconstruction of the original image. Platform: |
Size: 5120 |
Author:吴称光 |
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Description: 用HAAR小波变换,对其小波系数进行提取关系,然后进行零树编码，实现压缩，最后解压缩，还原原图片。本人进行小优化，十分值得借鉴。-Using haar wavelet transform, the wavelet coefficients extracted their relationship, and then zero-tree coding to achieve compression, decompression Finally, restore the original picture. I conducted a small optimization, very worth learning from. Platform: |
Size: 9216 |
Author:李红 |
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Description: WAVE2GRAY Display wavelet decomposition coefficients.
比pdun原有的更加详细。有详细帮助文档。-WAVE2GRAY Display wavelet decomposition coefficients. Than the original pdun more detailed. Have detailed help documentation. Platform: |
Size: 2048 |
Author:Lvlin |
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Description: 这个是二维小波变化的正反变化，采用9/7提升小波系数，在jpeg2000图像压缩系统中使用-This is a change in the pros and cons of two-dimensional wavelet changes, the use of 9/7 lifting wavelet coefficients in JPEG2000 image compression system used in Platform: |
Size: 2048 |
Author:钟毓秀 |
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Description: 对图像进行二维离散小波变换, 变换级数大于等于3级,然后统计系数中0的个数（百分比表示），并进行重构, 最后计算重构图像的峰值信噪比(PSNR).
里面还附上了我写的实验报告，对大家理解Mallat算法和图像压缩很有帮助-Image two-dimensional discrete wavelet transform, transform series greater than or equal to 3, and then statistics of the number of coefficients in 0 (expressed as a percentage), and reconstruction, the final calculation of reconstructed image of the peak signal to noise ratio (PSNR). which also includes the experimental report I wrote to all of us understand the Mallat algorithm and image compression helpful Platform: |
Size: 986112 |
Author:zhang |
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Description: 实现以下功能：装载信号；完成信号的单尺度一维离散小波分解；从系数中重构低频部分和高频部分；显示高频和低频部分；由小波逆变换恢复信号；多层一维分解；提取系数的低频和高频部分；重构第3层的低频系数；重构第1、2、3、4、5层的高频信号；重构原始信号并显示-Achieve the following functions: load signal complete signal single-scale one-dimensional discrete wavelet decomposition reconstructed from the coefficients in the low frequency and high frequency display high-frequency and low frequency restored by the inverse wavelet transform signal multi-layer one-dimensional decomposition extraction coefficient of low frequency and high frequency reconstruction of 3-layer low-frequency coefficients reconstruction of the first layer of high-frequency signal 1,2,3,4,5 reconstruct the original signal and display Platform: |
Size: 1024 |
Author:王艳 |
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