mcsm-benchs: Benchmarking methods for multi-component signal processing

Time-frequency (TF) representations are natural encodings of non-stationary time series, also termed signals, helping to discern patterns that reveal their time-varying frequency structure (Flandrin, 1998).The model one usually has in mind when discussing TF representations is a so-called multi-component signal (MCS), where the latter is thought to be the sum of several components of individual interest.

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Publication Details

Journal
The Journal of Open Source Software
Published
2025-09-22
DOI
https://doi.org/10.21105/joss.08175
Primary Topic
Control Systems and Identification
Type
article
Field-Weighted Citation Impact
0.00

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article

mcsm-benchs: Benchmarking methods for multi-component signal processing

François Auger, Juan M. Miramont, Rémi Bardenet, Pierre Chainais
The Journal of Open Source Software
Control Systems and Identification
article

mcsm-benchs: Benchmarking methods for multi-component signal processing

François Auger, Juan M. Miramont, Rémi Bardenet, Pierre Chainais
article en

Abstract

Time-frequency (TF) representations are natural encodings of non-stationary time series, also termed signals, helping to discern patterns that reveal their time-varying frequency structure (Flandrin, 1998).The model one usually has in mind when discussing TF representations is a so-called multi-component signal (MCS), where the latter is thought to be the sum of several components of individual interest.

The Journal of Open Source SoftwareVol. 10(113)
Centre National de la Recherche Scientifique (FR), Centre de Recherche en Informatique (FR), IMT Atlantique (FR), Institut de Recherche en Génie Civil et Mécanique (FR), École Centrale de Lille (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 68%
Control Systems and Identification
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