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Gianfranco Avitabile

Researcher at Polytechnic University of Bari

Publications -  91
Citations -  598

Gianfranco Avitabile is an academic researcher from Polytechnic University of Bari. The author has contributed to research in topics: Phase-locked loop & Phase shift module. The author has an hindex of 11, co-authored 82 publications receiving 419 citations. Previous affiliations of Gianfranco Avitabile include Instituto Politécnico Nacional.

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Journal ArticleDOI

Multiple Synchronized Inertial Measurement Unit Sensor Boards Platform for Activity Monitoring

TL;DR: The paper addresses the issue of managing a large multi-sensor platform for off-line activities with a reduced sensor node complexity and guaranteeing the perfect synchronization for each acquired sample and the new simple and light algorithm proposed overcomes the limits of the commonly used protocols.
Journal ArticleDOI

A Synchronized Multi-Unit Wireless Platform for Long-Term Activity Monitoring

TL;DR: A new approach to the synchronization problem is introduced to guarantee a precise but not necessarily accurate synchronization between the units and it guarantees perfect synchronization of the single measurement, even during long-duration acquisitions.
Journal ArticleDOI

DDS-PLL Phase Shifter Architectures for Phased Arrays: Theory and Techniques

TL;DR: The main contribution of the proposed implementation consists in showing that the output phase increments of the DDS-PLL are unaffected by the frequency multiplication operated by the PLL.
Journal ArticleDOI

Angle of Arrival Estimation Through a Full-Hardware Approach for Adaptive Beamforming

TL;DR: A full-hardware approach for Angle of Arrival (AoA) estimation in phased array antennas that can be used to perform adaptive beamforming either to increase the range of operation and/or reduce transmitted power in IoT applications.
Proceedings ArticleDOI

A wearable wireless system for gait analysis for early diagnosis of Alzheimer and Parkinson disease

TL;DR: In this article, a wearable wireless system and a proprietary algorithm along with a preliminary study on the time gait variability analysis as a tool for early diagnosis is presented, which is composed by a set of Inertial Measurements Units (IMUs) positioned on the patient leg.