Design optimization of flexible analog-to-feature converter for smart sensors

Analog-to-Feature (A2F) conversion is an attractive alternative for the significant reduction of energy consumed by wireless communication systems during data transfer from sensor to aggregator. This work illustrates the simulation results of anomaly detection in ECG signals via A2F conversion based on Non-Uniform Wavelet Sampling (NUWS). Moreover, another application is envisioned to show the genericity of the proposed converter and determine its parameters for a circuit design.

Mots clés

Analog-to-Feature conversion smart sensors Non-Uniform Wavelet Sampling Machine Learning

Domaines

Micro et nanotechnologies/Microélectronique Electronique

Fichier principal

Poster_GdR_SOC2_2022_Manokhin.pdf (850.83 Ko)

GdR_SOC2_Design_optimization_of_flexible_analog-to-feature_converter_for_smart_sensors_2022.pdf (180.7 Ko)

Origine	Fichiers produits par l'(les) auteur(s)

Mikhail Manokhin : Connectez-vous pour contacter le contributeur

https://telecom-paris.hal.science/hal-03758067

Soumis le : lundi 30 janvier 2023-17:37:17

Dernière modification le : mercredi 23 octobre 2024-10:30:04

Dates et versions

hal-03758067 , version 1 (30-01-2023)

Identifiants

HAL Id : hal-03758067 , version 1

Citer

Mikhail Manokhin, Paul Chollet, Patricia Desgreys. Design optimization of flexible analog-to-feature converter for smart sensors. Colloque du GDR SOC2, Jun 2022, Strasbourg, France. ⟨hal-03758067⟩

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