The Easy Path Wavelet Transform: A New Adaptive Wavelet Transform for Sparse Representation of Two-Dimensional Data

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
G. Plonka
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引用次数: 86

Abstract

We introduce a new locally adaptive wavelet transform, called easy path wavelet transform (EPWT), that works along pathways through the array of function values and exploits the local correlations of the data in a simple appropriate manner. The usual discrete orthogonal and biorthogonal wavelet transform can be formulated in this approach. The EPWT can be incorporated into a multiresolution analysis structure and generates data dependent scaling spaces and wavelet spaces. Numerical results show the enormous efficiency of the EPWT for representation of two-dimensional data.
简单路径小波变换:二维数据稀疏表示的一种新的自适应小波变换
我们引入了一种新的局部自适应小波变换,称为易路径小波变换(EPWT),它沿着函数值数组的路径工作,并以一种简单适当的方式利用数据的局部相关性。常用的离散正交和双正交小波变换可以用这种方法表示。EPWT可以集成到多分辨率分析结构中,并生成与数据相关的尺度空间和小波空间。数值结果表明,EPWT对二维数据的表示具有极大的效率。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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