Search Results - "Cardarilli, Gian Carlo"

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  1. 1

    A pseudo-softmax function for hardware-based high speed image classification by Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Giardino, Daniele, Nannarelli, Alberto, Re, Marco, Spanò, Sergio

    Published in Scientific reports (28-07-2021)
    “…In this work a novel architecture, named pseudo-softmax, to compute an approximated form of the softmax function is presented. This architecture can be…”
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    A Novel Digital Equalizer Based on RF Sampling Beyond GHz by Canese, Lorenzo, Carlo Cardarilli, Gian, Cesa, Riccardo la, Di Nunzio, Luca, Fazzolari, Rocco, Giardino, Daniele, Re, Marco, Spano, Sergio

    Published in IEEE access (2024)
    “…Hardware implementations represent the major challenges when digital signal processors for ultra-wideband (UWB) signals must be developed. Due to the…”
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  4. 4

    Multi-Agent Reinforcement Learning: A Review of Challenges and Applications by Canese, Lorenzo, Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Giardino, Daniele, Re, Marco, Spanò, Sergio

    Published in Applied sciences (01-06-2021)
    “…In this review, we present an analysis of the most used multi-agent reinforcement learning algorithms. Starting with the single-agent reinforcement learning…”
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    AW-SOM, an Algorithm for High-Speed Learning in Hardware Self-Organizing Maps by Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Re, Marco, Spano, Sergio

    “…Self-Organizing Maps (SOM) represent one of the most used clustering algorithms. A strong limitation in hardware SOM implementations is the decrease in…”
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  6. 6

    An Efficient Hardware Implementation of Reinforcement Learning: The Q-Learning Algorithm by Spano, Sergio, Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Giardino, Daniele, Matta, Marco, Nannarelli, Alberto, Re, Marco

    Published in IEEE access (2019)
    “…In this paper we propose an efficient hardware architecture that implements the Q-Learning algorithm, suitable for real-time applications. Its main features…”
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  7. 7

    Fully digital intensity modulated LIDAR by Pollastrone, Fabio, Cardarilli, Gian Carlo, Pizzoferrato, Roberto, Re, Marco

    Published in Defence Technology(防务技术) (01-08-2016)
    “…In several applications, such as collision avoidance, it is necessary to have a system able to rapidly detect the simultaneous presence of different obstacles…”
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  8. 8

    Resilient multi-agent RL: introducing DQ-RTS for distributed environments with data loss by Canese, Lorenzo, Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Re, Marco, Spanò, Sergio

    Published in Scientific reports (23-01-2024)
    “…This paper proposes DQ-RTS, a novel decentralized Multi-Agent Reinforcement Learning algorithm designed to address challenges posed by non-ideal communication…”
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  9. 9

    Sensing and Detection of Traffic Signs Using CNNs: An Assessment on Their Performance by Canese, Lorenzo, Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Famil Ghadakchi, Hamed, Re, Marco, Spanò, Sergio

    Published in Sensors (Basel, Switzerland) (15-11-2022)
    “…Traffic sign detection systems constitute a key component in trending real-world applications such as autonomous driving and driver safety and assistance. In…”
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    Design Space Exploration for Edge Machine Learning Featured by MathWorks FPGA DL Processor: A Survey by Bertazzoni, Stefano, Canese, Lorenzo, Cardarilli, Gian Carlo, Nunzio, Luca Di, Fazzolari, Rocco, Re, Marco, Spano, Sergio

    Published in IEEE access (2024)
    “…This paper proposes a Design Space Exploration for Edge machine learning through the utilization of the novel MathWorks FPGA Deep Learning Processor IP,…”
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    A Reinforcement Learning-Based QAM/PSK Symbol Synchronizer by Matta, Marco, Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Giardino, Daniele, Nannarelli, Alberto, Re, Marco, Spano, Sergio

    Published in IEEE access (2019)
    “…Machine Learning (ML) based on supervised and unsupervised learning models has been recently applied in the telecommunication field. However, such techniques…”
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    An RNS-Based Initial Absolute Position Estimator for Electrical Encoders by Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Giardino, Daniele, Re, Marco, Nannarelli, Alberto, Spano, Sergio

    Published in IEEE access (2023)
    “…In digital systems, the Residue Number System (RNS) represents an interesting alternative to the traditional two's complement representation. Its performance…”
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    Pipe Organ Design Including the Passive Haptic Feedback Technology and Measurement Analysis of Key Displacement, Pressure Force and Sound Organ Pipe by Kowol, Paweł, Nowak, Pawel, Di Nunzio, Luca, Cardarilli, Gian Carlo, Capizzi, Giacomo, Lo Sciuto, Grazia

    Published in Applied system innovation (01-06-2024)
    “…In this work, an organ pipe instrument with a mechatronic control system including the Passive Haptic Feedback technology is implemented. The test bed consists…”
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    Improvement of the Cardiac Oscillator Based Model for the Simulation of Bundle Branch Blocks by Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Re, Marco, Silvestri, Francesca

    Published in Applied sciences (01-09-2019)
    “…In this paper, we propose an improvement of the cardiac conduction system based on three modified Van der Pol oscillators. Each oscillator represents one of…”
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    Hardware Prototyping and Validation of a W-ΔDOR Digital Signal Processor by Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Giardino, Daniele, Matta, Marco, Re, Marco, Iess, Luciano, Cialfi, Fabio, De Angelis, Giorgio, Gelfusa, Dario, Pulcinelli, Ascanio Patrizio, Simone, Lorenzo

    Published in Applied sciences (01-07-2019)
    “…Microwave tracking, usually performed by on ground processing of the signals coming from a spacecraft, represents a crucial aspect in every deep-space mission…”
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    High Dynamic Optimized Carrier Loop Improvement for Tracking Doppler Rates by Fereidountabar, Amirhossein, Re, Marco, Cardarilli, Gian Carlo

    “…Mathematical analysis and optimization of a carrier tracking loop are presented. Due to fast changing of the carrier frequency in some satellite systems, such…”
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    N -Dimensional Approximation of Euclidean Distance by Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Nannarelli, Alberto, Re, Marco, Spano, Sergio

    “…Several applications in different engineering areas require the computation of the Euclidean distance, a quite complex operation based on squaring and square…”
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  18. 18

    An FPGA-based multi-agent Reinforcement Learning timing synchronizer by Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Giardino, Daniele, Re, Marco, Ricci, Andrea, Spanò, Sergio

    Published in Computers & electrical engineering (01-04-2022)
    “…In this paper we propose a Timing Recovery Loop for PSK and QAM modulations based on swarm Reinforcement Learning, suitable for FPGA implementation. We apply…”
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    M-PSK Demodulator With Joint Carrier and Timing Recovery by Giardino, Daniele, Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Nannarelli, Alberto, Re, Marco, Spano, Sergio

    “…In this brief, we propose a new digital receiver for Phase-Shift Keying (PSK) modulation based on the integration of the conventional digital Costas Loop…”
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    Probability-based mapping approach for an application-aware networks-on-chip architectures by Perumal, Deepa, Alagarsamy, Aravindhan, Mahilmaran, Sundarakannan, Cardarilli, Gian Carlo, Ko, Seok-Bum

    Published in Nano communication networks (01-09-2024)
    “…In a digital and automation era, on-chip multi-core architecture plays a vital role in effective communication in the field of very large-scale integrated…”
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