The relationship between a time-varying model of non-stationary signals and its Wigner distribution

Qiu L. and Tsoi A.C. (1993) The relationship between a time-varying model of non-stationary signals and its Wigner distribution. Signal Processing, 32 3: 305-314. doi:10.1016/0165-1684(93)90003-S


Author Qiu L.
Tsoi A.C.
Title The relationship between a time-varying model of non-stationary signals and its Wigner distribution
Journal name Signal Processing   Check publisher's open access policy
ISSN 0165-1684
Publication date 1993-01-01
Sub-type Article (original research)
DOI 10.1016/0165-1684(93)90003-S
Volume 32
Issue 3
Start page 305
End page 314
Total pages 10
Subject 1711 Signal Processing
2208 Electrical and Electronic Engineering
Abstract An explicit relationship between the time-varying parameters of a moving average (MA) model and the corresponding Wigner distribution of a non-stationary signal is shown. As an illustrative example, the parameters of an MA model are estimated from its respective Wigner distributions and vice versa. The time-varying parameters of an autoregressive (AR) model can be obtained from the parameters of the corresponding MA model of the signal. The relationship between the time-varying parameters of an AR model and the corresponding WD is found.
Keyword non-stationary signal
time-varying model
Wigner distribution
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
 
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Created: Tue, 23 Aug 2016, 15:14:04 EST by System User