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Sparse Random Mode Decomposition

The proposed method builds from the continuous STFT, that is, we represent a signal f ∈ L1([0, T ]) by f (t) = ∑∞ −∞ f (t)W (t − τ )dτ = ∑∞ ∑∞ −∞ −∞ α(ω, τ ) W (t − τ ) exp (iωt) dωdτ, where α is the transform function and W is a (positive) window function.

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Cite this as

Nicholas Richardson, Hayden Schaeffer, Giang Tran (2025). Dataset: Sparse Random Mode Decomposition. https://doi.org/10.57702/k1w1rmco

DOI retrieved: January 3, 2025

Additional Info

Field Value
Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.48550/arXiv.2204.06108
Author Nicholas Richardson
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Hayden Schaeffer
Giang Tran