| dc.contributor.author |
Boashash, Boualem |
|
| dc.contributor.author |
Ristic, B |
|
| dc.date.accessioned |
2011-06-12T16:41:39Z |
|
| dc.date.available |
2011-06-12T16:41:39Z |
|
| dc.date.issued |
1996-10 |
|
| dc.identifier.citation |
IEEE International Conference on Systems, Man, and Cybernetics, 1996, Volume : 4, page(s): 2751 |
en_US |
| dc.identifier.other |
Digital Object Identifier : 10.1109/ICSMC.1996.561375 |
|
| dc.identifier.other |
INSPEC Accession Number: 5496338 |
|
| dc.identifier.uri |
http://hdl.handle.net/10576/10705 |
|
| dc.description |
This is one of several conference papers that show the link between polynomial TFDs and TVHOS and the implications for non-stationary signal analysis.(The most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia., and then continuously updated). |
en_US |
| dc.description.abstract |
The paper deals with analysis and time-frequency representation of multicomponent signals characterised by non-linear frequency variation in time. A certain type of higher-order time-frequency distribution, referred to as polynomial Wigner-Ville distribution, has been designed to achieve delta function concentration in the time-frequency plane for this class of signals. In the presence of multiplicative noise, the signals are treated as being random and we introduce time-varying higher-order spectra (TV-HOS) as ensemble averaged polynomial Wigner-Ville distributions. TV-HOS are shown to be natural tools for analysis of non-stationary random signals, and we demonstrate this in the context of FM signals affected by multiplicative noise. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.subject |
FM signals |
en_US |
| dc.subject |
delta function concentration |
en_US |
| dc.subject |
ensemble averaged polynomial Wigner-Ville distributions |
en_US |
| dc.subject |
multicomponent signals |
en_US |
| dc.subject |
multiplicative noise |
en_US |
| dc.subject |
nonlinear frequency variation |
en_US |
| dc.subject |
nonstationary signal analysis |
en_US |
| dc.subject |
polynomial time-frequency distributions |
en_US |
| dc.subject |
time-frequency plane |
en_US |
| dc.subject |
time-varying higher order spectra |
en_US |
| dc.subject |
time-frequency analysis |
en_US |
| dc.subject |
polynomial TFDs |
en_US |
| dc.subject |
TFSA |
en_US |
| dc.subject |
instantaneous frequency |
en_US |
| dc.title |
Polynomial time-frequency distributions and time-varying higher order spectra: application to non-stationary signal analysis |
en_US |
| dc.type |
Article |
en_US |