23 citations · 43 across the 9 of their papers we have counts for
9 papers
Time-Varying Spiky Wave-Shape Functions for Non-Stationary Signal Decomposition
Marcelo A. Colominas, Hau-Tieng Wu
We propose a novel framework for decomposing nonstationary spiky signals. Unlike classical adaptive non-harmonic models, which represent signals as amplitude- and frequency-modulat…
Time-Frequency Filtering Meets Graph Clustering
Marcelo A. Colominas, Stefan Steinerberger, Hau-Tieng Wu
We show that the problem of identifying different signal components from a time-frequency representation can be equivalently phrased as a graph clustering problem: given a graph $G…
Fully Adaptive Time-Varying Wave-Shape Model: Applications in Biomedical Signal Processing
Joaquin Ruiz, Gastón Schlotthauer, Leandro Vignolo +1
In this work, we propose a time-varying wave-shape extraction algorithm based on a modified version of the adaptive non-harmonic model for non-stationary signals. The model codifie…
Wave-shape Function Model Order Estimation by Trigonometric Regression
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…
Enhancing Missing Data Imputation of Non-stationary Signals with Harmonic Decomposition
Joaquin Ruiz, Hau-tieng Wu, Marcelo A. Colominas
Dealing with time series with missing values, including those afflicted by low quality or over-saturation, presents a significant signal processing challenge. The task of recoverin…
Unsupervised classification of the spectrogram zeros
Juan M. Miramont, François Auger, Marcelo A. Colominas +2
The zeros of the spectrogram have proven to be a relevant feature to describe the time-frequency structure of a signal, originated by the destructive interference between component…
An iterative warping and clustering algorithm to estimate multiple wave-shape functions from a nonstationary oscillatory signal
Marcelo A. Colominas, Hau-Tieng Wu
Nonsinusoidal oscillatory signals are everywhere. In practice, the nonsinusoidal oscillatory pattern, modeled as a 1-periodic wave-shape function (WSF), might vary from cycle to cy…
Instantaneous Frequency Estimation In Multi-Component Signals Using Stochastic EM Algorithm
Quentin Legros, Dominique Fourer, Sylvain Meignen +1
This paper addresses the problem of estimating the modes of an observed non-stationary mixture signal in the presence of an arbitrary distributed noise. A novel Bayesian model is i…
Decomposing non-stationary signals with time-varying wave-shape functions
Marcelo A. Colominas, Hau-Tieng Wu
Modern time series are usually composed of multiple oscillatory components, with time-varying frequency and amplitude contaminated by noise. The signal processing mission is furthe…