Bootstrap Modeling of a Class of Nonstationary Signals
Zoubir, Abdelhak M. & Iskander, D. Robert (2000) Bootstrap Modeling of a Class of Nonstationary Signals. IEEE Transactions on Signal Processing, 48(2), pp. 399-408.
The problem of modeling polynomial-phase signals is considered. Techniques based on the bootstrap and multiple hypotheses tests for optimal model selection of constant amplitude polynomial-phase signals embedded in stationary noise are developed. Phase parameter estimators based on both the least-squares method and the polynomial phase transform are used. The proposed techniques are compared with existing ones, including Akaike’s information criterion and Rissanen’s minimum description length criterion and are shown to outperform these procedures for the considered small sample sizes.
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|Item Type:||Journal Article|
|Keywords:||Bootstrap, model selection, multiple hypotheses tests, polynomial phase signals|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
|Copyright Owner:||Copyright 2000 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||02 Mar 2005 00:00|
|Last Modified:||10 Aug 2011 18:41|
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