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20.6 Electromagnetic vibration energy harvester interface IC with conduction-angle-controlled maximum-power-point tracking and harvesting efficiencies of up to 90%.

, , , , , and . ISSCC, page 1-3. IEEE, (2015)

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20.6 Electromagnetic vibration energy harvester interface IC with conduction-angle-controlled maximum-power-point tracking and harvesting efficiencies of up to 90%., , , , , and . ISSCC, page 1-3. IEEE, (2015)A 0.0046-mm2 Two-Step Incremental Delta-Sigma Analog-to-Digital Converter Neuronal Recording Front End With 120-mVpp Offset Compensation., , , , , , and . IEEE J. Solid State Circuits, 58 (2): 439-450 (February 2023)Low-Power Organic Light Sensor Array Based on Active-Matrix Common-Gate Transimpedance Amplifier on Foil for Imaging Applications., , , , , , , , , and 2 other author(s). IEEE J. Solid State Circuits, 55 (9): 2553-2566 (2020)Simplistic Machine Learning-Based Air-to-Ground Path Loss Modeling in an Urban Environment., , , , and . FMEC, page 158-163. IEEE, (2020)A 1.85 fA/√Hz fully integrated read-out interface for sub-pA current sensing applications., , and . ESSCIRC, page 356-359. IEEE, (2017)Area Constrained Multi-Source Power Management for Thermoelectric Energy Harvesting., , , , , , and . ESSCIRC, page 141-144. IEEE, (2019)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., , , , , and . ISSCC, page 398-400. IEEE, (2021)