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Exploiting ST-Based Representation for High Sampling Rate Dynamic Signals

  • Andrea TomaEmail author
  • Tassadaq Nawaz
  • Lucio Marcenaro
  • Carlo Regazzoni
  • Yue Gao
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 27)

Abstract

In this chapter, dynamic wideband signals with high sampling rate are analysed through the discrete Stockwell transform (ST). To this end, a reduced complexity ST-based transform with independent time and frequency resolution is investigated. We call it dual-resolution approach. It results in a new strategy based on a trade-off between the time–frequency resolution and the ST computational time addressing the problem of large amount of samples in wideband signals. Short-time Fourier transform (STFT) representation is also included to discuss the applicability to feature-based methodologies in a Cognitive Radio context. Real modulated signals are generated by a Software-Defined Radio testbed to validate the dual-resolution technique. Just 11–20% of the time necessary to generate the T matrix without dual-resolution is requested and 3–12% of the ST computational time with respect to the conventional ST. While, the number of samples can be till four times larger.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Andrea Toma
    • 1
    • 2
    Email author
  • Tassadaq Nawaz
    • 1
  • Lucio Marcenaro
    • 1
  • Carlo Regazzoni
    • 1
  • Yue Gao
    • 3
  1. 1.Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN)University of GenoaGenovaItaly
  2. 2.School of Electronic Engineering and Computer Science (EECS)Queen Mary University of LondonLondonUK
  3. 3.School of Electronic Engineering and Computer Science (EECS)Queen Mary University of LondonLondonUK

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