most citedMethods for detection and characterization of signals in noisy data with the Hilbert-Huang Transform

24 citations · 24 across the 1 of their papers we have counts for

collaborators

1 paper

physics.data-an2009★ 24 cited

Methods for detection and characterization of signals in noisy data with the Hilbert-Huang Transform

Alexander Stroeer, John K. Cannizzo, Jordan B. Camp +1

The Hilbert-Huang Transform is a novel, adaptive approach to time series analysis that does not make assumptions about the data form. Its adaptive, local character allows the decom…