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小波变换源代码
wav_basic.c: basic filtering, decimation and upsampling routines.
wav_basic.h: interface to wav_basic.c.
wav_trf.c: transform routines.
wav_trf.h: interface to wav_trf.c.
wav_filters.h: where filter banks and their properties are de
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About transforms DCT using the separate cosine jpeg the compression the matlab source program, simple is practical, also has the annotation, very good reads. ,matlab,Wavelet -About DCT transforms using the separate co the sine jpeg compression the p
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Guleryuz写的一个完整的小波变换的源代码。主要包括:wav_basic.c: basic filtering, decimation and upsampling routines.
wav_basic.h: interface to wav_basic.c.
wav_trf.c: transform routines.
wav_trf.h: interface to wav_trf.c.
wav_filters.h: where filter banks and the
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Software to perform 1-d and 2-d wavelet statistics and transforms in the R statistical package.
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小波变换和编码功能,包括其他更多的外来转变-Wavelet transform and coding functions, including other more exotic transforms
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Gabor wavelet transform applied to feature extraction of ophthalmic images.
We investigate a new approach for measuring ocular
refractive errors (astigmatism, near-sightedness and shortsightedness)
from images of the human eye [1]. This
ap
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本文利用小波以及小波包在数字信号处理中表现出来的优势,将其应用到变换域通信(TDCS)中。针对基于傅里叶变换估计方法无法对非平干扰进行有效估计的缺点,于是小波技术被应用于谱估计中。作为TDCS通信前端的频谱感知阶段所应用的数学工具,进行频谱感知,小波变换可以确定干扰所在频段以及创建小波基函数,用于数据传输。并且将其与其他变换方式的应用场合以及性能进行对比。并且针第二代小波良好的数据压缩性能,拟将其应用于TDCS中,对干扰频谱进行进一步压缩-The article utilized the adv
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PERCEPTUAL OPTIMIZATION OF WAVELET IMAGE COMPRESSION
NASA’s extensive image compression requirements may be met in part by the use
of wavelet techniques.1 Wavelets form a large class of signal and image transforms,
generally characterized by de
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Scaling, wavelets, image compression, and
encoding
NASA’s extensive image compression requirements may be met in part by the use
of wavelet techniques.1 Wavelets form a large class of signal and image transforms,
generally characterized by de
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实现9/7小波正反变换
注1: 采用标准正交方法,对行列采用不同矩阵(和matlab里不同)
注2: 为了保证正交,所有边界处理,全部采用循环处理
注3: 正交性验证,将单位阵带入函数,输出仍是单位阵(matlab不具有此性质)
注4: 此程序是矩阵实现,所以图像水平分量和垂直分量估计被交换位置
注5: 此程序实现的是类小波(wavelet-like)变换,是介于小波包变换与小波变换之间的变换
注6: 此程序每层变换相对原图像矩阵,产生的矩阵都是正交阵,这和小
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有限ridgelet变换程序,是一种超小波变换,对图像几何分析很有用。-the finite Ridgelet transforms procedures, is a beyond-wavelet transform, geometric analysis of images is useful.
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这个MATLAB软件包实现了小波在一维Gabior样转换的文件中所述:
[1] K.N.乔杜里,M.,王凤琴,“建设希尔伯特变换的双
波基和Gabor变换,“对信号的IEEE交易
加工,第一卷。 57,没有。 9,3411-3425,2009年9月。
作者:K.N.乔杜里。
模块如下:
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1。 demo.m
一个简单的例子演示软件的使用。
2。 autcorr.m
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Contourlet变换是对小波变换的进一步发展,提供一个Contourlet变换的Matlab工具箱,供有兴趣的同学学习。-Contourlet transform is a further development of the wavelet transform, it is in a sense the realization of the two-dimensional image transforms. Provides a Contourlet transform Matlab to
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Hidden Markov modelling of contourlet transforms for art authentication
Bayesian robust hidden Markov model
Hidden Markov Models for Molecular Motors
When wavelet meet HMM
Hidden Markov Tree model of Contourlet Transform
EM for HMM Multivar
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WAVELET PACKET TRANSFORMS AND APPLICATIONS
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video watemarking using wavelet and fft based transforms.video watemar king using wavelet and fft based transforms.video watemarking using wavelet and fft based transforms.-video watemarking using wavelet and fft based transforms.video watemarking us
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The COBRA
The COBRA is a suite of Matlab codes for background subtraction in spectroscopy (in particular Raman and SERS spectra), based on wavelets transforms.
To download, unzip this .zip file and follow the instructions in the user manual for
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This article presents a new method for identification and classification of
faults based on wavelet multiresolution analysis (MRA). Daubechies eight (D-8)
wavelet transforms of the three phase currents on a transmission line are used.
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这本书在稀疏的多尺度图像和信号处理提出了艺术状态,包括线性多尺度变换,如小波,脊波和曲波变换、非线性、多尺度变换基于中值和数学形态学算子。最近的稀疏性和形态多样性的概念描述和利用各种问题,如去噪,反问题正规化,稀疏信号分解,盲源分离,压缩感知。
这本书的理论和实践研究相结合的领域,如天文学、生物学、物理学、数字媒体应用和取证。最后一章探讨了信号处理中的一个范式转换,表明以前的信息取样和提取的限制可以用非常重要的方法加以克服。
MATLAB和IDL代码伴随这些方法和应用程序重现。
实验并说明
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该资料介绍了包括Signals and Systems,Fourier Transforms,Sine and Cosine Transforms,The Hartley Transform,Laplace Transforms,The Z-Transform,Hilbert Transforms,Radon and Abel Transforms,The Hankel Transform,Wavelet Transform等在内的十多种变换,数学推导清晰,适合电子电器行业的研究人员学习。(Th
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