The Fast Fourier and Hilbert-Huang Transforms: A Comparison

Author

Donnelly, Denis

Author_Institution

Dept. of Phys., Siena Coll., Loudonville, NY

Volume

1

fYear

2006

fDate

4-6 Oct. 2006

Firstpage

84

Lastpage

88

Abstract

The conversion of time domain data via the fast Fourier (FFT) and Hilbert-Huang (HHT) transforms is compared. The FFT treats amplitude vs. time information globally as it transforms the data to an amplitude vs. frequency description. The HHT is not constrained by the assumptions of stationarity and linearity, required for the FFT, and generates both amplitude and frequency information as a function of time. The behavior and flexibility of these two transforms are examined for a number of different time domain signal types

Keywords

Hilbert transforms; fast Fourier transforms; Hilbert-Huang transform; amplitude; data analysis; fast Fourier transform; frequency description; time domain signal types; Data analysis; Data mining; Educational institutions; Fast Fourier transforms; Frequency domain analysis; Linearity; Physics; Signal processing; Systems engineering and theory; Time domain analysis; Hilbert-Huang transform; data analysis; fast Fourier transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Engineering in Systems Applications, IMACS Multiconference on

Conference_Location

Beijing

Print_ISBN

7-302-13922-9

Electronic_ISBN

7-900718-14-1

Type

conf

DOI

10.1109/CESA.2006.4281628

Filename

4281628