Search Results for author: Marcelo A. Colominas

Found 7 papers, 4 papers with code

Fully Adaptive Time-Varying Wave-Shape Model: Applications in Biomedical Signal Processing

1 code implementation26 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.

Denoising

Wave-shape Function Model Order Estimation by Trigonometric Regression

no code implementations26 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.

Denoising Model Selection +1

Enhancing Missing Data Imputation of Non-stationary Signals with Harmonic Decomposition

1 code implementation8 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.

Imputation Time Series

Unsupervised classification of the spectrogram zeros

1 code implementation11 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.

Classification Denoising

An iterative warping and clustering algorithm to estimate multiple wave-shape functions from a nonstationary oscillatory signal

no code implementations12 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.

Clustering

Instantaneous Frequency Estimation In Multi-Component Signals Using Stochastic EM Algorithm

no code implementations28 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.

Decomposing non-stationary signals with time-varying wave-shape functions

1 code implementation14 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.

Computational Efficiency regression +2

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