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Raphael Nägele
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2020 – today
- 2024
- [c5]Raphael Nägele, Jakob Finkbeiner, Markus Grözing, Manfred Berroth, Georg Rademacher:
Characterization of an Analog MAC Cell with Multi-Bit Resolution for AI Inference Accelerators. AICAS 2024: 243-247 - [c4]Jakob Finkbeiner, Raphael Nägele, Markus Grözing, Manfred Berroth, Georg Rademacher:
Characterization of a Femtojoule Voltage-to-Time Converter with Rectified Linear Unit Characteristic for Analog Neural Network Inference Accelerators. AICAS 2024: 253-257 - 2023
- [j1]Raphael Nägele, Jakob Finkbeiner, Valentin Stadtlander, Markus Grözing, Manfred Berroth:
Analog Multiply-Accumulate Cell With Multi-Bit Resolution for All-Analog AI Inference Accelerators. IEEE Trans. Circuits Syst. I Regul. Pap. 70(9): 3509-3521 (2023) - 2022
- [c3]Daniel Widmann, Raphael Nägele, Markus Grözing, Manfred Berroth:
Mixed-Signal Integrated Circuit for Direct Raised-Cosine Filter Waveform Synthesis of Digital Signals up to 24 GS/s in 22 nm FD-SOI CMOS Technology. ISCAS 2022: 3234-3238 - [c2]Raphael Nägele, Jakob Finkbeiner, Markus Grözing, Manfred Berroth:
Design of an Energy Efficient Analog Two-Quadrant Multiplier Cell Operating in Weak Inversion. NEWCAS 2022: 5-9 - [c1]Jakob Finkbeiner, Raphael Nägele, Markus Grözing, Manfred Berroth:
Design of an Energy Efficient Voltage-to-Time Converter with Rectified Linear Unit Characteristics for Artificial Neural Networks. NEWCAS 2022: 327-331
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