|
Title:
|
Polynomial time-frequency distributions and time-varying higher order spectra: application to non-stationary signal analysis |
|
Author:
|
Boashash, Boualem; Ristic, B
|
|
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. |
|
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). |
|
URI:
|
http://hdl.handle.net/10576/10705
|
|
Date:
|
1996-10 |