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Gabriel Vasile
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Documents
Identifiants chercheurs
- gabriel-vasile
- 0000-0002-6458-3634
- Google Scholar : https://scholar.google.fr/citations?user=jnpBbpcAAAAJ&hl=fr&oi=ao
- IdRef : 120253240
Présentation
Gabriel Vasile received the M.Eng. degree in electrical engineering and computer science and the M.S. degree in image, shapes, and artificial intelligence from the POLITEHNICA University, Bucharest, Romania, in 2003 and 2004, respectively, and the Ph.D. degree in signal and image processing from the Savoie University, Annecy, France, in 2007. From 2007 to 2008, he was a Postdoctoral Fellow with the French Space Agency (CNES) and was with the French Aerospace Laboratory (ONERA), Palaiseau, France. In 2008, he joined the French National Center for Scientific Research (CNRS), where he is currently a Research Scientist and a member of the Grenoble Image Speech Signal Automatics Laboratory, Grenoble, France. He is author of more than 100 papers published in international journals and conference proceedings. In 2008, he received the ”Bourse de la Vocation - Prix des Neiges” to recognize his work in radar remote sensing for the benefit of the Savoie and the Haute Savoie counties, France. His current research interests include Speckle, Polarimetry, Interferometry, Applied Electromagnetics, Acoustics and Vibration, Tomography, Remote Sensing, Big Data Analytics.
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Flow velocity profiling using acoustic time of flight flow metering based on wide band signals and adaptive beam-forming techniquesIOP Conference Series: Earth and Environmental Science, 2016, 49, pp.062003. ⟨10.1088/1755-1315/49/6/062003⟩
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Cavitating vortex characterization based on acoustic signal detectionIOP Conference Series: Earth and Environmental Science, 2016, 49, pp.082009. ⟨10.1088/1755-1315/49/8/082009⟩
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Instantaneous Frequency Law tracking using signal's representation in phase diagram domainDSP 2017 - 22th IEEE International Conference on Digital Signal Processing, Aug 2017, Londres, United Kingdom
Communication dans un congrès
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Cavitation characterization using wide band signals in an acoustic active sensing systemOCEANS 2016 - OCEANS '16 MTS/IEEE. The Sea’s the Limit, Sep 2016, Monterey, United States. pp.1 - 5, ⟨10.1109/OCEANS.2016.7761114⟩
Communication dans un congrès
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Cavitating vortex characterization based on acoustic signal detectionIAHR 2016 - 28th IAHR symposium on Hydraulic Machinery and Systems, Jul 2016, Grenoble, France. pp.82009 - 82009, ⟨10.1088/1755-1315/49/8/082009⟩
Communication dans un congrès
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Water hammer effect characterization using an acoustic signal processing approachATEE 2015 - 9th International Symposium on Advanced Topics in Electrical Engineering, May 2015, Bucharest, Romania. pp.5-8, ⟨10.1109/ATEE.2015.7133666⟩
Communication dans un congrès
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Transient signal characterization using multi-lag phase space analysisCOMCAS 2015 - 2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems, Nov 2015, Tel-Aviv, Israel. ⟨10.1109/COMCAS.2015.7360411⟩
Communication dans un congrès
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Flow Rate Computation of Highly Turbulent Pipe Flows using Wide-Band Signals and Matched Filter-Based Approach in Ultrasonic Multi-Element ConfigurationIGHEM 2014 - 10th International Conference of Hydraulic Efficiency Measurement, Sep 2014, Itajuba, Brazil. pp.12
Communication dans un congrès
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Adaptive Waveforms for Flow Velocity Estimation Using Acoustic SignalsEUSIPCO 2014 - 22th European Signal Processing Conference, Sep 2014, Lisbonne, Portugal. pp.5
Communication dans un congrès
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Electric Arc Locator in Photovoltaic Power Systems Using Advanced Signal Processing TechniquesELMAR 2013 - 55th International Symposium Electronics in Marine, Sep 2013, Zadar, Croatia. pp.129-132
Communication dans un congrès
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