期刊
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
卷 43, 期 1, 页码 1-22出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.acha.2015.10.002
关键词
Stationary signals; Time-frequency; Time-scale; Warping; Modulation
资金
- Agence Nationale de la Recherche (ANR) [ANR-10-CORD-010]
- Agence Nationale de la Recherche [ANR-10-CORD-010]
A class of random non-stationary signals termed timbrex dynamics is introduced and studied. These signals are obtained by non-linear transformations of stationary random Gaussian signals, in such a way that the transformation can be approximated by translations in an appropriate representation domain. In such situations, approximate maximum likelihood estimation techniques can be derived, which yield simultaneous estimation of the transformation and the power spectrum of the underlying stationary signal. This paper focuses on the case of modulation and time warping of stationary signals, and proposes and studies estimation algorithms (based on time-frequency and time-scale representations respectively) for these quantities of interest. The proposed approach is validated on numerical simulations on synthetic signals, and examples on real life car engine sounds. (C) 2015 Elsevier Inc. All rights reserved.
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