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Harmonics detection in frequency sparse signal
Beata Palczynska, Romuald Masnicki, Janusz Mindykowski
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Abstract:The article shows the possibilities of using the compressive sensing technique to detect harmonics in a frequency sparse signal. Such features characterize signals in the ship s electrical network. A fast algorithm is presented, in which few randomly sampled projections of the input signal are used for its correct reconstruction. The ℓ1-minimization problem in the compressive signal reconstruction is resolved by means of the convex optimization method with thresholding and the additional use of the K-rank-order filter in the signal s sparse domain in order to accelerate the convergence of the solution. The preliminary results of numerical simulation confirm the effectiveness of the algorithm used but also indicate its limitations.
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DOI:_unreg_tc19-SEA-2019.49
Event details:
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IMEKO TC:TC19
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Event name:MetroSea 2019
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Title:
TC19 International Workshop on Metrology for the Sea
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Place:Genoa, ITALY
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Time:03 October 2019 - 05 October 2019