Wavelet-based visual data exploration

Alcebiades Dal Col, Paola Valdivia, Fabiano Petronetto, Fabio Dias, Claudio Silva, L. Gustavo Nonato

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The wavelet coefficients associated with each node of the graph encode information about the signal under analysis considering all nodes in its neighborhood. However, understanding and extracting insight out of this wealth of information can be a challenging task. In this chapter, we will briefly review how the wavelet coefficients can be interpreted and explore which visual analytics resources can be leveraged. The visual representation of wavelet coefficients is still an application-dependent open problem in visualization, but recent developments introduced alternatives to specific cases, such as geo-referenced urban data and dynamic graphs.

Original languageEnglish (US)
Title of host publicationSignals and Communication Technology
PublisherSpringer
Pages459-478
Number of pages20
DOIs
StatePublished - Jan 1 2019

Publication series

NameSignals and Communication Technology
ISSN (Print)1860-4862
ISSN (Electronic)1860-4870

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ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Networks and Communications

Cite this

Dal Col, A., Valdivia, P., Petronetto, F., Dias, F., Silva, C., & Gustavo Nonato, L. (2019). Wavelet-based visual data exploration. In Signals and Communication Technology (pp. 459-478). (Signals and Communication Technology). Springer . https://doi.org/10.1007/978-3-030-03574-7_14