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Onderzoeker
Martin Andraud
- Disciplines:Nanotechnologie, Sensoren, biosensoren en slimme sensoren, Andere elektrotechniek en elektronica, Ontwerptheorieën en -methoden
Affiliaties
- Elektronische Circuits en Systemen (ECS) (Afdeling)
Lid
Vanaf1 aug 2020 → 31 jul 2019 - Afdeling ESAT - MICAS, Micro-elektronica en Sensoren (Afdeling)
Lid
Vanaf1 jan 2017 → 31 jul 2019
Publicaties
1 - 10 van 10
- A 0.1-nW-1-μW Energy-Efficient All-Dynamic Versatile Capacitance-to-Digital Converter(2019)
Auteurs: Martin Andraud
Pagina's: 1841 - 1851 - A 0.34-571nW All-Dynamic Versatile Sensor Interface for Temperature, Capacitance, and Resistance Sensing(2019)
Auteurs: Martin Andraud
Pagina's: 161 - +Aantal pagina's: 4 - Optimized Hierarchical Cascaded Processing(2018)
Auteurs: Koen Goetschalckx, Steven Lauwereins, Martin Andraud, Marian Verhelst
Pagina's: 884 - 894 - From on-chip self-healing to self-adaptivity in analog/RF ICs: Challenges and opportunities(2018)
Auteurs: Martin Andraud, Marian Verhelst
Pagina's: 131 - 134 - A 174 pW–488.3 nW 1 S/s–100 kS/s All-Dynamic Resistive Temperature Sensor With Speed/Resolution/Resistance Adaptability(2018)
Auteurs: Haoming Xin, Martin Andraud, Peter Baltus, Eugenio Cantatore, Pieter Harpe
Pagina's: 70 - 74 - A 0.1nW-1μW All-dynamic Capacitance-to-Digital Converter with Power/Speed/Capacitance Scalability(2018)
Auteurs: Martin Andraud
Pagina's: 18 - 21Aantal pagina's: 4 - On the use of Bayesian Networks for Resource-Efficient Self-Calibration of Analog/RF ICs(2018)
Auteurs: Martin Andraud, Marian Verhelst
Aantal pagina's: 10 - Flexible and Self-adaptive Sense-and-Compress for sub-microWatt always-on sensory recording(2018)
Auteurs: Jaro De Roose, Martin Andraud, Marian Verhelst
Pagina's: 282 - 285Aantal pagina's: 4 - Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents(2017)
Auteurs: Jaro De Roose, Martin Andraud, Marian Verhelst
Pagina's: 1727 - 1734 - Exploring the unknown through successive generations of low power and low resource versatile agents(2017)
Auteurs: Martin Andraud, Jaro De Roose, Marian Verhelst
Pagina's: 290 - 293