Multiple-model coding scheme for electrical signal compression
This paper proposes a low-latency Multiple-Model Coding (MMC) approach to compress sampled electrical signal waveforms under encoding rate constraints. The approach is window-based. Several parametric waveform models are put in competition to obtain a first coarse representation of the signal in eac...
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| Vydáno v: | Signal processing Ročník 236; s. 110037 |
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| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
01.11.2025
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| Témata: | |
| ISSN: | 0165-1684 |
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| Abstract | This paper proposes a low-latency Multiple-Model Coding (MMC) approach to compress sampled electrical signal waveforms under encoding rate constraints. The approach is window-based. Several parametric waveform models are put in competition to obtain a first coarse representation of the signal in each considered window. Then, different residual compression techniques are compared to minimize the residual reconstruction error. The model parameters are quantized, and the allocation of the rate budget among the two steps is optimized. Simulation results show that the proposed MMC approach achieves a higher signal-to-noise ratio than state-of-the-art solutions on periodic and transients signal waveforms. |
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| AbstractList | This paper proposes a low-latency Multiple-Model Coding (MMC) approach to compress sampled electrical signal waveforms under encoding rate constraints. The approach is window-based. Several parametric waveform models are put in competition to obtain a first coarse representation of the signal in each considered window. Then, different residual compression techniques are compared to minimize the residual reconstruction error. The model parameters are quantized, and the allocation of the rate budget among the two steps is optimized. Simulation results show that the proposed MMC approach achieves a higher signal-to-noise ratio than state-of-the-art solutions on periodic and transients signal waveforms. |
| ArticleNumber | 110037 |
| Author | Prevost, Thibault Li, Zuxing Kieffer, Michel Panciatici, Patrick Piantanida, Pablo Presvôts, Corentin |
| Author_xml | – sequence: 1 givenname: Corentin orcidid: 0009-0009-7552-3459 surname: Presvôts fullname: Presvôts, Corentin email: corentin.presvots@centralesupelec.fr organization: Réseau de Transport d’Électricité, France – sequence: 2 givenname: Michel orcidid: 0000-0002-1049-3123 surname: Kieffer fullname: Kieffer, Michel email: michel.kieffer@lss.supelec.fr organization: Université Paris-Saclay - CentraleSupélec - CNRS, Laboratoire des Signaux et Systèmes (L2S), France – sequence: 3 givenname: Thibault orcidid: 0000-0001-8129-5813 surname: Prevost fullname: Prevost, Thibault email: thibault.prevost@rte-france.com organization: Réseau de Transport d’Électricité, France – sequence: 4 givenname: Patrick orcidid: 0009-0000-8936-094X surname: Panciatici fullname: Panciatici, Patrick email: patrick.panciatici@rte-france.com organization: Réseau de Transport d’Électricité, France – sequence: 5 givenname: Zuxing surname: Li fullname: Li, Zuxing email: zuxing.li@l2s.centralesupelec.fr organization: Université Paris-Saclay - CentraleSupélec - CNRS, Laboratoire des Signaux et Systèmes (L2S), France – sequence: 6 givenname: Pablo orcidid: 0000-0002-8717-2117 surname: Piantanida fullname: Piantanida, Pablo email: pablo.piantanida@centralesupelec.fr organization: Université Paris-Saclay - CentraleSupelec - CNRS - International Laboratory of Learning Systems (ILLS) - McGill - ETS - Mila, France |
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| Keywords | Model-based coding Low latency Compression Rate–distortion optimization Transform coding Raw electrical waveform compression |
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