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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Veröffentlicht in:Signal processing Jg. 236; S. 110037
Hauptverfasser: Presvôts, Corentin, Kieffer, Michel, Prevost, Thibault, Panciatici, Patrick, Li, Zuxing, Piantanida, Pablo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.11.2025
Schlagworte:
Compression
Low latency
Model-based coding
Rate–distortion optimization
Raw electrical waveform compression
Transform coding
Model-based coding
Low latency
Compression
Rate–distortion optimization
Transform coding
Raw electrical waveform compression
ISSN:0165-1684
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Zusammenfassung: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.
ISSN:0165-1684
DOI:10.1016/j.sigpro.2025.110037