A high-resolution dyadic transform for non-stationary signal analysis Academic Article in Scopus uri icon

abstract

  • © 2021 by the authors. Licensee MDPI, Basel, Switzerland.This article shows a new Te-transform and its periodogram for applications that mainly exhibit stochastic behavior with a signal-to-noise ratio lower than ¿30 dB. The Te-transform is a dyadic transform that combines the properties of the dyadic Wavelet transform and the Fourier transform. This paper also provides another contribution, a corollary on the energy relationship between the untransformed signal and the transformed one using the Te-transform. This transform is compared with other methods used for the analysis in the frequency domain, reported in literature. To perform the validation, the authors created two synthetic scenarios: a noise-free signal scenario and another signal scenario with a signal-to-noise ratio equal to ¿69 dB. The results show that the Te-transform improves the sensitivity in the frequency spectrum with respect to previously reported methods.

publication date

  • December 1, 2021