Evaluation of criteria for detection of changes in nonstationary signals

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Evaluation of criteria for detection of changes in nonstationary signals

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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

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