Literature DB >> 29986912

Introduction to redundancy rules: the continuous wavelet transform comes of age.

Paul S Addison1.   

Abstract

Redundancy: it is a word heavy with connotations of lacking usefulness. I often hear that the rationale for not using the continuous wavelet transform (CWT)-even when it appears most appropriate for the problem at hand-is that it is 'redundant'. Sometimes the conversation ends there, as if self-explanatory. However, in the context of the CWT, 'redundant' is not a pejorative term, it simply refers to a less compact form used to represent the information within the signal. The benefit of this new form-the CWT-is that it allows for intricate structural characteristics of the signal information to be made manifest within the transform space, where it can be more amenable to study: resolution over redundancy. Once the signal information is in CWT form, a range of powerful analysis methods can then be employed for its extraction, interpretation and/or manipulation. This theme issue is intended to provide the reader with an overview of the current state of the art of CWT analysis methods from across a wide range of numerate disciplines, including fluid dynamics, structural mechanics, geophysics, medicine, astronomy and finance.This article is part of the theme issue 'Redundancy rules: the continuous wavelet transform comes of age'.
© 2018 The Author(s).

Keywords:  continuous wavelet transform; signal processing; time-frequency representation

Year:  2018        PMID: 29986912      PMCID: PMC6048575          DOI: 10.1098/rsta.2017.0258

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  12 in total

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Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-08-13       Impact factor: 4.226

2.  Wavelet analysis techniques in cavitating flows.

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Authors:  Mark P Wachowiak; Renata Wachowiak-Smolíková; Michel J Johnson; Dean C Hay; Kevin E Power; F Michael Williams-Bell
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8.  Analysis of time-varying signals using continuous wavelet and synchrosqueezed transforms.

Authors:  Jean Baptiste Tary; Roberto Henry Herrera; Mirko van der Baan
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-08-13       Impact factor: 4.226

9.  Continuous wavelet transform in the study of the time-scale properties of intracranial pressure in hydrocephalus.

Authors:  María García; Jesús Poza; David Santamarta; Roberto Romero-Oraá; Roberto Hornero
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-08-13       Impact factor: 4.226

10.  Continuous wavelet transform and higher-order spectrum: combinatory potentialities in breath sound analysis and electroencephalogram-based pain characterization.

Authors:  Leontios J Hadjileontiadis
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-08-13       Impact factor: 4.226

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