Description: 内容：基于MATLAB的小波变换程序
具体功能：实现四级信号的小波分解和重构-Content: wavelet transform based on Matlab: four level signial wavelet decomposition and reconstruction are implemented. Platform: |
Size: 1881 |
Author:肖水军 |
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Description: 内容：基于MATLAB的小波变换程序
具体功能：实现四级信号的小波分解和重构-Content: wavelet transform based on Matlab: four level signial wavelet decomposition and reconstruction are implemented. Platform: |
Size: 2048 |
Author:肖水军 |
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Description: n点长度的DB系列小波多分辨分解程序。
可以实现一维信号的分解和重构-length of the point n DB series multiresolution wavelet decomposition process. Peacekeeping can achieve a signal decomposition and reconstruction Platform: |
Size: 183296 |
Author:李豪夺 |
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Description: 利用VC＋＋对一维信号进行小波分解，然后重够，并且可以选择小波和分解的层数-VC++ on a peacekeeping signal wavelet decomposition, and then heavy enough, and can choose wavelet decomposition and the floors Platform: |
Size: 4705280 |
Author:秦先勇 |
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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: 小波工具箱的应用基础 395
16.1 一维小波分析的应用 395
16.1.1 小波分解在普通信号分析中的应用 395
16.1.2 小波变换在信号特征检测中的应用 411
16.2 二维小波分析的应用 417
16.2.1 小波分析在图像平滑中的应用 417
16.2.2 小波分析在图像增强中的应用 418
16.2.3 小波分析在图像融合中的应用 420
16.3 小波包分析的应用 422
16.3.1 小波包在信号时频分析中的应用 423
16.3.2 小波包在图像边缘检测中的应用 429-toolbox of 16.1 basis of a 395-dimensional wavelet analysis of 395 small 16.1.1 Decomposition of the ordinary wave signal analysis of 395 16.1.2 wavelet transform in signal detection of 41 a 16.2 2D wavelet analysis of 417 16.2.1 wavelet analysis in image smoothing of 417 1 6.2.2 wavelet analysis in image enhancement of 418 16.2.3 wavelet analysis in Image Fusion System 420 16.3 wavelet packet analysis of wavelet packet Entry 422 in the signal frequency analysis of 42 3 16.3.2 wavelet packet in Edge Detection of 429 Platform: |
Size: 3072 |
Author:崔鹏 |
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Description: 文章利用MATLAB语言及其小波工具箱，采用小波变换算法，开发数字水印嵌入系统，通过对原始静态图像和二值图像水印进行小波多分辨率分解，组合对应方向上的小波细节子图数据，从而实现了在原始静态图像上嵌入二值图像水印。有部分代码-article using MATLAB language and its toolbox, wavelet transform algorithm, development of digital watermark embedded systems, right through static images and the original binary image watermarking multiresolution wavelet decomposition, Portfolio corresponding direction on the details of wavelet-map data, thus realizing the original static image embedded binary image watermarking. Some code Platform: |
Size: 52224 |
Author:ming-ming |
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Description: 使用Matlab7.3开发的使用整数小波变换对图像进行3级分解和重构的程序，具有详细的实验报告，和演示结果截图，目录下包含程序中用到的图像等所有文件。-use Matlab7.3 development of the use of integral wavelet transform, the image is three decomposition and reconstruction of the way Sequence, a detailed report of the experiment, the results of screenshots and demo, the directory contains procedures to use the images of all documents. Platform: |
Size: 832512 |
Author:zuoyinbo |
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Description: 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. Platform: |
Size: 519168 |
Author:wangrui |
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Description: haar小波变换行分解程序行分解是最基本的了 只要学会了它 其他的自己就会了-haar wavelet transform decomposition line line decomposition process is the most basic of the Society as long as its own the other will be a Platform: |
Size: 2048 |
Author:刘正 |
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Description: 应用二维小波变换对图像进行去噪。程序image_denoise1.m应用sym5小波对图像进行2层分解，直接用各层的逼近信号表示去噪后的信号。程序image_denoise2.m利用不同的阈值对含噪信号进行去噪，相当于进行两次高频噪声的消除，并且阈值不同。-Application of two-dimensional wavelet transform for image denoising. Application procedures image_denoise1.m image sym5 wavelet decomposition layer 2, the direct use of all floors of the signals that the approximation of the signal after denoising. Image_denoise2.m procedures using different thresholds for denoising noisy signals, which is equivalent to twice the elimination of high-frequency noise, and different thresholds. Platform: |
Size: 1024 |
Author:李冰 |
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Description: 采用Matlab编写的小波变换之金字塔分解与重构，该代码很基础，适合初学者了解小波变换-Matlab prepared using the pyramid wavelet transform decomposition and reconstruction, the code is the basis of wavelet transform suitable for beginners to understand Platform: |
Size: 176128 |
Author:巢歌 |
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Description: 这是《小波分析理论与MATLABR2007实现》的源代码。主要是基于Matlab的小波工具箱实现小波基选择、小波包分解、Mallat变换以及小波变换在边缘提取、图像去噪、数据压缩等中的应用，特别包含了二代提升小波的相关内容，理论与实际相结合。大家想要了解的二进小波、正交镜像滤波器组[QMF]等概念这里都有体现。-This is 《MATLABR2007 wavelet analysis theory and implementation》 of the source code. Mainly based on the Matlab wavelet toolbox implementation of wavelet selection, wavelet packet decomposition, Mallat transform and wavelet transform in edge detection, image denoising, data compression, such as the application, in particular, contains a second generation of relevant content Lifting Wavelet theory and reality. Everyone wanted to know about the dyadic wavelet, quadrature mirror filters [QMF] concepts are embodied here. Platform: |
Size: 55296 |
Author:吴 |
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Description: 在采用二维离散小波变换对织物图像进行分解的基础上，引入了熵的概念，将小波熵作为织物图像的特征值，把熵值看作系统紊乱程度的度量，由此得到织物图像的小波熵特征值，通过与正常织物经过二维小波变换后提取的小波熵值相比较，熵值大者即认为有疵点存在-At the use of two-dimensional discrete wavelet transform decomposition of the fabric image, based on the introduction of the concept of entropy, wavelet entropy as a fabric image of the characteristic values, the entropy as a measure of the degree of system disorders, the resultant fabric image of the wavelet eigenvalues entropy, through the fabric after normal after the extraction of two-dimensional wavelet transform of the wavelet entropy values compared to the larger entropy that has faults exist Platform: |
Size: 239616 |
Author:gyq |
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Description: main executing reference usage: observeWaveletDecompositionBenchmark_N_levels.m
The objective is to illustrate wavelet decomposition, and to describe how operations may be done in the wavelet domain before the reconstruction. The demo decouples the wavelet operations (transform, operation in wavelet domain, and reconstruction) from the plotting.
A PSNR and MSE describes the possible distortion (however minimal) of the forward and inverse wavelet transform.
* Caveat: The image display may be subjected to the selected target image. The objective is to provide a simple framework for the understanding of working with wavelets. Platform: |
Size: 210944 |
Author:elfrania |
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Description: Images require substantial storage and transmission resources, thus image compression is advantageous to reduce these requirements. The report covers some background of wavelet analysis, data compression and how wavelets have been and can be used for image compression. This project aims at implementing wavelet transform for image compression. The wavelet transform is implemented using Matlab.As the wavelets provide a unique relation between time and scale components of the signal, this property makes wavelets suitable for image compression and also the efficient decomposition of signals prior to compression. Platform: |
Size: 1024 |
Author:prince |
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Search - wavelet transform decomposition