1 code implementation • 26 Sep 2023 • Joaquin Ruiz, Gastón Schlotthauer, Leandro Vignolo, Marcelo A. Colominas
The algorithm was validated on both real and synthetic signals for the tasks of denoising, decomposition and adaptive segmentation.
no code implementations • 26 Sep 2023 • Joaquin Ruiz, Marcelo A. Colominas
The adaptive non-harmonic (ANH) model is a powerful tool to compactly represent oscillating signals with time-varying amplitude and phase, and non-sinusoidal oscillating morphology.
1 code implementation • 8 Sep 2023 • Joaquin Ruiz, Hau-Tieng Wu, Marcelo A. Colominas
In this paper, we introduce a novel algorithm, coined Harmonic Level Interpolation (HaLI), which enhances the performance of existing imputation algorithms for oscillatory time series.
1 code implementation • 11 Oct 2022 • Juan M. Miramont, François Auger, Marcelo A. Colominas, Nils Laurent, Sylvain Meignen
In this work, a classification of these zeros in three types is introduced, based on the nature of the components that interfere to produce them.
no code implementations • 12 Aug 2022 • Marcelo A. Colominas, Hau-Tieng Wu
We present an iterative warping and clustering algorithm to estimate $s_1,\ldots, s_K$ from a nonstationary oscillatory signal with time-varying amplitude and frequency, and hence the change points of the WSFs.
no code implementations • 28 Mar 2022 • Quentin Legros, Dominique Fourer, Sylvain Meignen, Marcelo A. Colominas
This paper addresses the problem of estimating the modes of an observed non-stationary mixture signal in the presence of an arbitrary distributed noise.
1 code implementation • 14 Oct 2020 • Marcelo A. Colominas, Hau-Tieng Wu
We propose a novel {\em nonlinear regression scheme} to robustly decompose a signal into its constituting multiple oscillatory components with time-varying frequency, amplitude and wave-shape function.