The Hilbert-Huang transform: Theory, applications, development

By Bradley Lee Barnhart. 2011

48 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/edf4ed68f57633dc615adb71dd233f62702336a0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Ebrahim Ghaderpour
2. Spiros Pagiatakis

In Control and Systems Engineering

1. Ebrahim Ghaderpour
2. Spiros Pagiatakis

In Statistics and Probability

1. Ebrahim Ghaderpour
2. Spiros Pagiatakis

Citations in the corpus

• Least-Squares Wavelet Analysis of Unequally Spaced and Non-stationary Time Series and Its Applications (2017, methodology): “There are a number of methods developed and applied to non-stationary time series, such as Wigner-Ville distribution (Classen and Mecklenbrauker 1980a, b, c; Baydar and Ball 2001), Hilbert–Huang transform (Huang et al. 1998; Barnhart 2011), empirical wavelet transform (Gilles 2013), tunable-Q wavele”