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Guglielmo Frigo
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2020 – today
- 2024
- [j19]Mohamed Agazar
, Giovanni D'Avanzo
Power Grids and Instrument Transformers up to 150 kHz: A Review of Literature and Standards. Sensors 24(13): 4148 (2024) - [j18]Guglielmo Frigo
Combining Steady-State Accuracy and Responsiveness of PMU Estimates: An Approach Based on Left and Right Taylor-Fourier Expansions. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j17]Alberto Morato
5G-Enabled PMU-Based Distributed Measurement Systems: Network Infrastructure Optimization and Scalability Analysis. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [c51]Paolo Castello, Davide Sitzia, Sara Sulis, Guglielmo Frigo:
Utilizing Matrix Profile for Enhanced Detection of Events in Sampled Values. AMPS 2024: 1-6 - [c50]Guglielmo Frigo, Ronald van Leeuwen, Helko E. van den Brom, Davide Signorino, Domenico Giordano, Daniele Gallo, Antonio Delle Femine:
Inter-Laboratory Comparison of Reference Systems for DC Power Quality Measurements. AMPS 2024: 1-6 - [c49]Guglielmo Frigo, Virginia Negri, Alessandro Mingotti, Roberto Tinarelli, Lorenzo Peretto, Johan Rens, Theresa Joubert:
Validating Inertia Assessment Metrics in Distribution Systems with High RES Penetration. AMPS 2024: 1-5 - [c48]Guglielmo Frigo, Paolo Attilio Pegoraro, Sergio Toscani:
Compressive Sensing Taylor-Fourier Multifrequency Approach for Three-Phase Signals. AMPS 2024: 1-6 - [c47]Marco Agustoni, Guglielmo Frigo:
Characterization of Analog Front-End in PMU Design for Inertia Monitoring. I2MTC 2024: 1-6 - [c46]Guglielmo Frigo, David Macii, Dario Petri:
Accuracy Comparison of Frequency and ROCOF Dynamic Estimators under Contingencies. I2MTC 2024: 1-6 - [c45]Alberto Morato, Guglielmo Frigo, Federico Tramarin:
Packet Losses Distributions in 5G Networks for PMU-Based Monitoring Systems. I2MTC 2024: 1-6 - 2023
- [j16]Federica Costa
Impact of Estimation Uncertainty in PMU-Based Resynchronization of Continental Europe Synchronous Areas. Sensors 23(5): 2705 (2023) - [j15]Allen Goldstein
Determination of Digitizer Absolute Phase Using Equivalent Time Sampling. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c44]Marco Agustoni, Guglielmo Frigo:
Implementation of Adaptive Taylor-Fourier Filters on a Real-Time Industrial Controller: Feasibility and Latency Analysis. AMPS 2023: 1-6 - [c43]Chemseddine Allioua, Alessandro Mingotti, Roberto Tinarelli, Lorenzo Peretto, Guglielmo Frigo:
Cloud-Based PMUs for Real-Time Power System Monitoring: Theoretical and Experimental Analysis. AMPS 2023: 1-6 - [c42]Guglielmo Frigo, Giacomo Gallus, Paolo Attilio Pegoraro, Sergio Toscani:
Improving Step Performance of PMU Algorithms: Left and Right Taylor-Fourier Expansions. AMPS 2023: 1-6 - [c41]Alberto Morato, Guglielmo Frigo, Federico Tramarin
Optimized 5G Communication Infrastructure for PMU-Based Distributed Measurement Systems. AMPS 2023: 1-6 - [c40]Paolo Attilio Pegoraro, Alessandro Mingotti, Sergio Toscani, Mario Luiso, Guglielmo Frigo:
Welcome Message from the Chairmen. AMPS 2023: 4-15 - [c39]Federica Costa
Interoperability Issues in PQ and PMU Measurements for Reduced Inertia Power Systems. I2MTC 2023: 1-6 - [c38]Federica Costa
PMU-Based Estimation of Inertia Variation: Proposed Metric and Feasibility Analysis. I2MTC 2023: 1-6 - [c37]Guglielmo Frigo, Alberto Morato, Tommaso Fedullo, Federico Tramarin
IEC 61850 on 5G Communication Infrastructure: Feasibility Analysis and Practical Considerations. I2MTC 2023: 1-6 - [c36]Federica Costa
Comparison of Time Synchronization Sources for PMU Calibration Infrastructures. ISPCS 2023: 1-6 - [i3]Guglielmo Frigo, Paolo Attilio Pegoraro, Sergio Toscani:
Tracking Power System Events with Accuracy-Based PMU Adaptive Reporting Rate. CoRR abs/2305.19752 (2023) - 2022
- [j14]Marco Agustoni
Phasor Measurement Unit With Digital Inputs: Synchronization and Interoperability Issues. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j13]Guglielmo Frigo
Supraharmonic Dynamic Phasors: Estimation of Time-Varying Emissions. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j12]Guglielmo Frigo
Enhanced Support Recovery for PMU Measurements Based on Taylor-Fourier Compressive Sensing Approach. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c35]Federica Costa
Revision of target uncertainty for PMU-based distributed measurement systems in MV networks. AMPS 2022: 1-6 - [c34]Guglielmo Frigo, Marco Agustoni:
Development of a Transfer Standard for DC Power Quality Reference Systems. AMPS 2022: 1-6 - 2021
- [j11]Marco Agustoni
Characterization of DAC Phase Offset in IEC 61850-9-2 Calibration Systems. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j10]Mathias Dorier
Leverage Point Identification Method for LAV-Based State Estimation. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [c33]Guglielmo Frigo:
Taylor-Fourier Multifrequency Model for Supra-Harmonic Identification and Estimation. AMPS 2021: 1-6 - [c32]Guglielmo Frigo, Marco Agustoni:
Phasor Measurement Unit and Sampled Values: Measurement and Implementation Challenges. AMPS 2021: 1-6 - [c31]Guglielmo Frigo, Paolo Attilio Pegoraro, Sergio Toscani:
Compressive Sensing Taylor-Fourier and Windowing Approach for Synchronized Phasor, Frequency and ROCOF Measurements. AMPS 2021: 1-6 - [c30]Guglielmo Frigo:
Design of a High-Accuracy and Traceable Reference Instrument for Flickermeter Certification. I2MTC 2021: 1-6 - 2020
- [c29]Stefano Vitturi, Luca Trevisan, Alberto Morato, Guglielmo Frigo, Federico Tramarin
Evaluation of LoRaWAN for Sensor Data Collection in an IIoT-based Additive Manufacturing Project. I2MTC 2020: 1-6 - [i2]Mathias Dorier, Guglielmo Frigo, Ali Abur, Mario Paolone:
Leverage Point Identification Method for LAV-Based State Estimation. CoRR abs/2008.03941 (2020)
2010 – 2019
- 2019
- [j9]Alessandra Galli
Denoising ECG Signal by CSTFM Algorithm: Monitoring During Motorbike and Car Races. IEEE Trans. Instrum. Meas. 68(7): 2433-2441 (2019) - [j8]Guglielmo Frigo
Reduced Leakage Synchrophasor Estimation: Hilbert Transform Plus Interpolated DFT. IEEE Trans. Instrum. Meas. 68(10): 3468-3483 (2019) - [j7]Guglielmo Frigo
PMU-Based ROCOF Measurements: Uncertainty Limits and Metrological Significance in Power System Applications. IEEE Trans. Instrum. Meas. 68(10): 3810-3822 (2019) - [c28]Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Asja Derviskadic, Guglielmo Frigo, Mario Paolone:
Real-Scenario Testing of an Active Phasor Data Concentrator. AMPS 2019: 1-5 - [c27]Guglielmo Frigo, Asja Derviskadic, Mario Paolone:
Impact of Fundamental Frequency Definition in IpDFT-based PMU Estimates in Fault Conditions. AMPS 2019: 1-6 - [c26]Guglielmo Frigo, Asja Derviskadic, Paolo Attilio Pegoraro, Carlo Muscas, Mario Paolone
Harmonic Phasor Measurements in Real-World PMU-Based Acquisitions. I2MTC 2019: 1-6 - [i1]Asja Derviskadic, Guglielmo Frigo, Mario Paolone:
Beyond Phasors: Continuous-Spectrum Modeling of Power Systems using the Hilbert Transform. CoRR abs/1906.11154 (2019) - 2018
- [j6]Claudio Narduzzi
Fast-TFM - Multifrequency Phasor Measurement for Distribution Networks. IEEE Trans. Instrum. Meas. 67(8): 1825-1835 (2018) - [c25]Guglielmo Frigo, A. Dcrviskadic, Claudio Narduzzi, Mario Paolone
Synchrophasor-Based ROCOF Measurements: Feasibility in Real-World Scenarios. AMPS 2018: 1-6 - [c24]Federico Tramarin
Characterization of electrical rotary distributors for real-time data communication. I2MTC 2018: 1-6 - [c23]Asja Derviskadic, Yihui Zuo
Under Frequency Load Shedding based on PMU Estimates of Frequency and ROCOF. ISGT Europe 2018: 1-6 - [c22]Guglielmo Frigo, Giada Giorgi:
Robust Baseline Measurement for Reliable Fetal Heart Rate Evaluation. MeMeA 2018: 1-6 - [c21]Alessandra Galli
Robust ECG Denoising for eHealth Applications. MeMeA 2018: 1-6 - 2017
- [j5]Guglielmo Frigo
Definition of Accurate Reference Synchrophasors for Static and Dynamic Characterization of PMUs. IEEE Trans. Instrum. Meas. 66(9): 2233-2246 (2017) - [c20]Guglielmo Frigo
Comparative evaluation of on-line missing data regression techniques in intrapartum FHR measurements. I2MTC 2017: 1-6 - [c19]Alessandra Galli
Robust estimation and tracking of heart rate by PPG signal analysis. I2MTC 2017: 1-6 - [c18]Guglielmo Frigo
IEEE 802.15.6 compliant WBSN: A case study. M&N 2017: 1-6 - 2016
- [j4]Guglielmo Frigo
Measuring Cerebral Activation From fNIRS Signals: An Approach Based on Compressive Sensing and Taylor-Fourier Model. IEEE Trans. Instrum. Meas. 65(6): 1310-1318 (2016) - [j3]Guglielmo Frigo
Characterization of a Compressive Sensing Preprocessor for Vector Signal Analysis. IEEE Trans. Instrum. Meas. 65(6): 1319-1330 (2016) - [c17]Guglielmo Frigo
Multifunction phasor analysis for distribution networks. AMPS 2016: 1-6 - [c16]Guglielmo Frigo
Efficient detection for multifrequency dynamic phasor analysis. AMPS 2016: 1-6 - [c15]Guglielmo Frigo
Definition and assessment of reference values for PMU calibration in static and transient conditions. AMPS 2016: 1-6 - 2015
- [j2]Matteo Bertocco, Guglielmo Frigo
Compressive Sensing of a Taylor-Fourier Multifrequency Model for Synchrophasor Estimation. IEEE Trans. Instrum. Meas. 64(12): 3274-3283 (2015) - [c14]Matteo Bertocco, Guglielmo Frigo
Frequency tracking for efficient phasor measurement based on a CSTFM model. AMPS 2015: 1-6 - [c13]Matteo Bertocco, Guglielmo Frigo
High-accuracy frequency estimation in compressive sensing-plus-DFT spectral analysis. I2MTC 2015: 1668-1671 - [c12]Guglielmo Frigo
Data processing algorithm for direction tracking in indoor localization. M&N 2015: 1-6 - [c11]Guglielmo Frigo
A compressive sensing spectral model for fNIRS haemodynamic response de-noising. MeMeA 2015: 244-249 - [c10]Guglielmo Frigo
A software-based platform for multichannel electrophysiological data acquisition. MeMeA 2015: 353-358 - [c9]Stefano Basso, Guglielmo Frigo
A smartphone-based indoor localization system for visually impaired people. MeMeA 2015: 543-548 - [c8]Guglielmo Frigo
Efficient tracking of heart rate under physical exercise from photoplethysmographic signals. RTSI 2015: 306-311 - 2014
- [j1]Matteo Bertocco, Guglielmo Frigo
Resolution Enhancement by Compressive Sensing in Power Quality and Phasor Measurement. IEEE Trans. Instrum. Meas. 63(10): 2358-2367 (2014) - [c7]Matteo Bertocco, Guglielmo Frigo
Compressive sensing plus Taylor-Fourier Transform for synchrophasor estimation. AMPS 2014: 1-5 - [c6]Guglielmo Frigo, Claudio Narduzzi:
Compressive sensing with an overcomplete dictionary for high-resolution DFT analysis. EUSIPCO 2014: 1766-1770 - [c5]Guglielmo Frigo
EEG gradient artifact removal by compressive sensing and Taylor-Fourier transform. MeMeA 2014: 313-318 - [c4]Luigino Benetazzo, Guglielmo Frigo
A collaborative approach for future ICT based healthcare services. MeMeA 2014: 439-442 - 2013
- [c3]Matteo Bertocco, Guglielmo Frigo, Claudio Narduzzi, Federico Tramarin
Resolution enhancement in harmonic analysis by compressive sensing. AMPS 2013: 40-45 - [c2]Matteo Bertocco, Guglielmo Frigo
A modulation detector based on compressive sensing for vector measurement in cognitive radio. I2MTC 2013: 795-800 - 2011
- [c1]Guglielmo Frigo
Spectrum sensing and vector signal analysis preprocessing based on compressed sampling. M&N 2011: 37-41
Coauthor Index
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