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Mohammad Amayreh
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2020 – today
- 2023
- [j3]Daniel Wendler
, Daniel De Dorigo
A 0.0046-mm2 Two-Step Incremental Delta-Sigma Analog-to-Digital Converter Neuronal Recording Front End With 120-mVpp Offset Compensation. IEEE J. Solid State Circuits 58(2): 439-450 (2023) - 2021
- [c7]Daniel Wendler
28.7 A 0.00378mm2 Scalable Neural Recording Front-End for Fully Immersible Neural Probes Based on a Two-Step Incremental Delta-Sigma Converter with Extended Counting and Hardware Reuse. ISSCC 2021: 398-400 - 2020
- [j2]Samar Elsaegh
Low-Power Organic Light Sensor Array Based on Active-Matrix Common-Gate Transimpedance Amplifier on Foil for Imaging Applications. IEEE J. Solid State Circuits 55(9): 2553-2566 (2020) - [c6]Ashraf A. Tahat, Talal A. Edwan
Simplistic Machine Learning-Based Air-to-Ground Path Loss Modeling in an Urban Environment. FMEC 2020: 158-163
2010 – 2019
- 2019
- [j1]Mohammad Amayreh
A Fully Integrated Current-Mode Continuous-Time Delta-Sigma Modulator for Biological Nanopore Read Out. IEEE Trans. Biomed. Circuits Syst. 13(1): 225-236 (2019) - [c5]Jacob Göppert, Simon Braun, David Pellhammer, Mohammad Amayreh, Joachim Leicht, Matthias Keller, Yiannos Manoli:
Area Constrained Multi-Source Power Management for Thermoelectric Energy Harvesting. ESSCIRC 2019: 141-144 - 2017
- [c4]Mohammad Amayreh, Yiannos Manoli, Matthias Keller:
A 1.85 fA/√Hz fully integrated read-out interface for sub-pA current sensing applications. ESSCIRC 2017: 356-359 - 2016
- [c3]Mohammad Amayreh, Joachim Leicht, Yiannos Manoli:
A 200ns settling time fully integrated low power LDO regulator with comparators as transient enhancement. ISCAS 2016: 494-497 - [c2]Daniel Schillinger, Yuanda Hu, Mohammad Amayreh, Christian Moranz, Yiannos Manoli:
A 96.7% efficient boost converter with a stand-by current of 420 nA for energy harvesting applications. ISCAS 2016: 654-657 - 2015
- [c1]Joachim Leicht, Mohammad Amayreh, Christian Moranz, Dominic Maurath, Thorsten Hehn, Yiannos Marioli:
20.6 Electromagnetic vibration energy harvester interface IC with conduction-angle-controlled maximum-power-point tracking and harvesting efficiencies of up to 90%. ISSCC 2015: 1-3
Coauthor Index
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