Name
Title | ||
|---|---|---|
A joint time-frequency empirical mode decomposition for nonstationary signal separation |
Abstract | ||
|---|---|---|
This paper outlines the application of the empirical mode decomposition (EMD) to a frequency domain representation of a signal. The application to frequency domain representations, as opposed to time domain representations, may provide more useful decomposition in the case where signal components overlap in frequency. The combined use of the EMD for both time and frequency domain representations of a signal is capable of generating more desirable signal decompositions for nonstationary signals. The results of the time-frequency EMD on two example signals shows improvement in nonstationary signal separation with little loss of desirable decomposition performance measures such as IMF orthogonality. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ISSPA.2007.4555307 | Sharjah |
Keywords | Field | DocType |
signal representation,source separation,time-frequency analysis,frequency domain representation,joint time-frequency empirical mode decomposition,nonstationary signal separation,signal decompositions,time domain representations | Frequency domain,Time domain,Pattern recognition,Computer science,Orthogonality,Artificial intelligence,Time–frequency analysis,Discrete cosine transforms,Source separation,Hilbert–Huang transform | Conference |
ISBN | Citations | PageRank |
978-1-4244-1779-8 | 0 | 0.34 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nathan Stevenson | 1 | 45 | 6.56 |
| Mostefa Mesbah | 2 | 184 | 27.26 |
| Boualem Boashash | 3 | 964 | 123.86 |
| Whitehouse, H.J. | 4 | 0 | 0.34 |