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Direct spectrum detection based on Bayesian approach

The paper investigates the Bayesian framework's performance for a direct detection of spectrum parameters from the compressive measurements. The reconstruction signal stage is eliminated in by the Bayesian Compressive Sensing algorithm, which causes that the computational complexity and processing time are extremely reduced. The computational efficiency of the presented procedure is significantly better than a typical compressive sensing approach. The numerical simulations confirm the possibility of using this method to direct harmonics detection.

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DOI
Digital Object Identifier link open in new tab 10.15199/48.2021.05.15
Category
Publikacja w czasopiśmie
Type
artykuły w czasopismach
Language
angielski
Publication year
2021

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