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Retrieving sinusoids from nonuniformly sampled data using recursive formulation

A heuristic procedure based on novel recursive formulation of sinusoid (RFS) and on regression with predictive least-squares (LS) enables to decompose both uniformly and nonuniformly sampled 1-d signals into a sparse set of sinusoids (SSS).

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Cite this as

Ivan Maric (2024). Dataset: Retrieving sinusoids from nonuniformly sampled data using recursive formulation. https://doi.org/10.57702/48g0y6rj

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.1016/j.eswa.2016.10.057
Author	Ivan Maric