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Matteo Perenzoni

Researcher at fondazione bruno kessler

Publications -  117
Citations -  1679

Matteo Perenzoni is an academic researcher from fondazione bruno kessler. The author has contributed to research in topics: CMOS & Detector. The author has an hindex of 20, co-authored 106 publications receiving 1329 citations.

Papers
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Development and characterization of a novel alpha particle SOI pixel sensor for neutron detection

TL;DR: In this article , the authors have developed a monolithic sensor with high spatial granularity in SOIPIX technology for the detection of alpha particles of energy compatible with the reaction products of neutrons with typical converter materials.
Proceedings ArticleDOI

A 8 × 6 pixel THz focal plane array with per-pixel high-gain readout channel in 150 nm CMOS technology

TL;DR: In this paper, a preliminary characterization of an 8 × 6 pixels, FET-based THz imager with on-chip antennas is presented, which takes advantage of a Switched Capacitor Band-Pass Filter (SC-BPF) followed by a sampling and amplifying stage for the readout chain.
Proceedings ArticleDOI

A time-based technique for a resistive detector

TL;DR: Differently from existing time-based technique, the proposed approach allows increasing the sensitivity of the detection by increasing the time of the measurement, thus extending the dynamic range of the Measurement.
Proceedings ArticleDOI

A monolithic SPAD-based random number generator for cryptographic application

TL;DR: The extracted random bit sequence shows a quite uniform distribution and after being post-processed by means of an integrated circuit, used to maximize the entropy of the system, is able to pass the AIS31 test.
Proceedings ArticleDOI

Comparison of background-rejection techniques for SPAD-based LiDAR systems

TL;DR: In this paper , the authors present the results of Monte Carlo simulations and measurements focusing on the analysis of two techniques aimed at reducing the negative effect of background light in Single Photon Avalanche Diode (SPAD)-based Light Detection And Ranging (LiDAR) systems.