| dc.contributor.author |
Lovell, B |
|
| dc.contributor.author |
Boashash, B |
|
| dc.date.accessioned |
2012-06-17T16:39:31Z |
|
| dc.date.available |
2012-06-17T16:39:31Z |
|
| dc.date.issued |
1987 |
|
| dc.identifier.citation |
Proceedings of IASTED 1987 International Symposium on Signal Processing and its Applications |
en_US |
| dc.identifier.uri |
http://hdl.handle.net/10576/10836 |
|
| dc.description.abstract |
A method to segment a nonstationary signal into non-overlapping successive near
stationary segments using the Covariance method of Autoregressive (AR) Modelling is presented.
An assumption of "local ergodicityn within the near stationary segments allows
improved spectral estimation because of the adaptive nature of the windowing_ Performance is
evaluated on simulated AR data and real oceanographic signals. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IASTED |
en_US |
| dc.title |
Evaluation of criteria for detection of changes in nonstationary signals |
en_US |
| dc.type |
Article |
en_US |