Description: 这个对图像用二维离散小波分解及重构出其低频分量，高频中的水平，垂直和对分量。-The two-dimensional discrete wavelet image decomposition and reconstruction out of its low-frequency components, high-frequency in the horizontal, vertical and right components. Platform: |
Size: 37888 |
Author:廖勇 |
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Description: Owing to the broad application value of audio
watermarking in remote transmission and mobile
extraction, it is very important to study watermarking
approaches against A/D and D/A conversion. Based
on wavelet decomposition and cepstrum technology,
an audio watermarking algorithm is proposed where
the low-frequency wavelet coefficients are chosen for
cepstrum transforming. Then, the obtained cepstrum
data shows stable for watermark hiding by the
methods of edging data cutting and statistical mean
modification. The synchronization is not required in
the algorithm. Experimental results show that the
proposed algorithm can resist on the attack of A/D
and D/A successfully with features of large capacity
and zero bit error. It will be helpful for the mobile
audio in secure broadcast and management in the Platform: |
Size: 199680 |
Author:vinay |
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Description: Owing to the broad application value of audio
watermarking in remote transmission and mobile
extraction, it is very important to study watermarking
approaches against A/D and D/A conversion. Based
on wavelet decomposition and cepstrum technology,
an audio watermarking algorithm is proposed where
the low-frequency wavelet coefficients are chosen for
cepstrum transforming. Then, the obtained cepstrum
data shows stable for watermark hiding by the
methods of edging data cutting and statistical mean
modification. The synchronization is not required in
the algorithm. Experimental results show that the
proposed algorithm can resist on the attack of A/D
and D/A successfully with features of large capacity
and zero bit error. It will be helpful for the mobile
audio in secure broadcast and management in the Platform: |
Size: 346112 |
Author:vinay |
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Description: matlab实现的小波分解和pca结合的人脸识别算法，识别率较好-matlab implementation of wavelet decomposition and pca combination of face recognition algorithms, a better recognition rate Platform: |
Size: 2048 |
Author:gu |
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Description: 作者使用matlab程序开发了脑电图信号接口程序，并利用小波分解对脑电信号节律提取。-By using the matlab program development of EEG signal interface program, and the use of wavelet decomposition of the EEG rhythm extraction. Platform: |
Size: 2048 |
Author:zh |
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Description: MATLAB环境下，一维小波分解并提取细节系数和近似系数，再加小波包分解信号-MATLAB environment, the one-dimensional wavelet decomposition and extract detail coefficients and approximation coefficients of wavelet packet decomposition of signal plus Platform: |
Size: 4096 |
Author:xxy |
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Description: 该程序实例首先对二维图像进行提升小波分解，然后构造传统小波分解结构[c,s]，接着使用函数ddencmp()获取信号压缩阈值，再采用函数wdencmp()实现图像压缩-First,the program decomposes the image use lifting wavelet , and then construct the traditional wavelet decomposition structure [c, s], then use the function ddencmp ()to obtain signal compression threshold, and then use the function wdencmp () to achieve image compression Platform: |
Size: 1024 |
Author:岳明彦 |
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Description: 实现小波3级分解 构建3维跨频带矢量 然后LBG聚类 再重构原图像-Construction of wavelet decomposition to achieve three inter-band 3-D vector and then reconstruct the original image LBG clustering Platform: |
Size: 60416 |
Author:枫叶飘零 |
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Description: 小波谱分析mallat算法经典程序，对原始信号进行低高频的信号分解以及重构，并且进行对比分析。-Algorithm for spectral analysis mallat small classic procedure, the original signal with low frequency signal decomposition and reconstruction, and compared. Platform: |
Size: 4096 |
Author:xiaoxi |
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Description: 小波变换的一级分解过程，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程-Wavelet decomposition level, the original signals were low-pass, high pass filter, and then under the random binary respectively, to be low frequency, high frequency (also known as average, details) two factors and multi-level decomposition is is on a low-frequency coefficients are then decomposed using wavelet decomposition is a recursive process Platform: |
Size: 78848 |
Author:zhangmixia |
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Description: 为了避免常规正交小波变换所引起的图像边缘失真，特别采用了双正交小波变换进行图像
的多分辨率分解。在融合处理时，为了获得更丰富的细节和更好的融合效果，对不同分解层、不
同方向上的高频分量以及同一分解层图像中的不同区域均采用不同的融合算子。实验结果表明，
该融合方法和融合规则是十分有效的，融合后图像的边缘和纹理细节都更加突出-In order to avoid the conventional orthogonal wavelet transform image edge distortion caused by the particular use of the biorthogonal wavelet transform for image multi-resolution decomposition. When the fusion process, in order to obtain richer detail and better integration of results for different decomposition layers, high frequency components in different directions within the same decomposition level of the image are different in different regions of the fusion operator. Experimental results show that the fusion and merging rule is very effective fusion of edge and texture detail can be more prominent Platform: |
Size: 231424 |
Author:zlq |
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Description: 计算时间序列的快速傅里叶变换并画出时域和频域图，之前进行小波降噪。-Calculate the time series and fast Fourier transform time-domain and frequency domain plot diagram, before wavelet decomposition. Platform: |
Size: 1024 |
Author:lijie |
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Description: 基于matlab的小波 变换三层分解和重组！学习小波的可以参考一些！非常不错的！-Based on the matlab wavelet decomposition and reorganization of three layers! Learning wavelet can reference some! Very good! Platform: |
Size: 1024 |
Author:xywl |
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Description: 基于小波和插值的超分辨率图像重建算法，通过插值后将小波分解应用于图像中，再通过逆变换得到重构图像-And interpolation based on wavelet super-resolution image reconstruction algorithm by interpolating the image after the wavelet decomposition used, then the reconstructed image through the inverse transform Platform: |
Size: 1024 |
Author:张卫 |
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Search - wavelet decomposition