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...

Full description

Saved in:

Bibliographic Details
Published in:	Signal processing Vol. 236; p. 110037
Main Authors:	Presvôts, Corentin, Kieffer, Michel, Prevost, Thibault, Panciatici, Patrick, Li, Zuxing, Piantanida, Pablo
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2025
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	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