Abstract
This paper proposes a new time-frequency distribution (TFD) based on the empirical mode decomposition (EMD). The TFD, referred to as the EMD-TFD, is developed using a multiple view approach formulated in the ambiguity domain. The individual intrinsic mode functions (IMFs) of the EMD are used to construct each view in the ambiguity domain and an adaptive filter is centered around the signal energy. This filter utilises the fact that the IMFs correspond closely to the definition of signal components in the time-frequency domain and a multiple view approach will remove the intercomponent cross-terms. The comparison of the EMD-TFD to several other TFDs using two correlation measures shows improved performance.
| Original language | English |
|---|---|
| Title of host publication | 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings |
| DOIs | |
| Publication status | Published - 2007 |
| Event | 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 - Sharjah, United Arab Emirates Duration: Feb 12 2007 → Feb 15 2007 |
Other
| Other | 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 |
|---|---|
| Country | United Arab Emirates |
| City | Sharjah |
| Period | 2/12/07 → 2/15/07 |
Fingerprint
ASJC Scopus subject areas
- Signal Processing
Cite this
A time-frequency distribution based on the empirical mode decomposition. / Stevenson, N.; Mesbah, M.; Boashash, B.
2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings. 2007. 4555306.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A time-frequency distribution based on the empirical mode decomposition
AU - Stevenson, N.
AU - Mesbah, M.
AU - Boashash, B.
PY - 2007
Y1 - 2007
N2 - This paper proposes a new time-frequency distribution (TFD) based on the empirical mode decomposition (EMD). The TFD, referred to as the EMD-TFD, is developed using a multiple view approach formulated in the ambiguity domain. The individual intrinsic mode functions (IMFs) of the EMD are used to construct each view in the ambiguity domain and an adaptive filter is centered around the signal energy. This filter utilises the fact that the IMFs correspond closely to the definition of signal components in the time-frequency domain and a multiple view approach will remove the intercomponent cross-terms. The comparison of the EMD-TFD to several other TFDs using two correlation measures shows improved performance.
AB - This paper proposes a new time-frequency distribution (TFD) based on the empirical mode decomposition (EMD). The TFD, referred to as the EMD-TFD, is developed using a multiple view approach formulated in the ambiguity domain. The individual intrinsic mode functions (IMFs) of the EMD are used to construct each view in the ambiguity domain and an adaptive filter is centered around the signal energy. This filter utilises the fact that the IMFs correspond closely to the definition of signal components in the time-frequency domain and a multiple view approach will remove the intercomponent cross-terms. The comparison of the EMD-TFD to several other TFDs using two correlation measures shows improved performance.
UR - http://www.scopus.com/inward/record.url?scp=51549091801&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51549091801&partnerID=8YFLogxK
U2 - 10.1109/ISSPA.2007.4555306
DO - 10.1109/ISSPA.2007.4555306
M3 - Conference contribution
AN - SCOPUS:51549091801
SN - 1424407796
SN - 9781424407798
BT - 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
ER -