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alessandro.fava@uniroma1.it
Alessandro Fava
Dottorando
Struttura:
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
E-mail:
alessandro.fava@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
A 0.064 mm2 16-channel in-pixel neural front end with improved system common-mode rejection exploiting a current-mode summing approach
JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS
2024
A Detailed Model of Cyclostationary Noise in Switched-Resistor Circuits
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS
2023
Wide-Band Shared LNA for Large Scale Neural Recording Applications
SMACD 23: International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design
2023
80 dB tuning range transimpedance amplifier exploiting the Switched-Resistor approach
AEÜ. INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
2022
Distributed switched-resistor approach for high-Q biquad filters
AEÜ. INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
2021
A detailed model of the switched-resistor technique
IEEE OPEN JOURNAL OF CIRCUITS AND SYSTEMS
2021
A low-voltage class-AB OTA exploiting adaptive biasing
AEÜ. INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
2020
Low power switched-resistor band-pass filter for neural recording channels in 130nm CMOS
HELIYON
2020
ERC
PE7_3
PE7_5
Keywords
low power electronics
Neural recording
biomedical design
CMOS analog integrated circuits
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