DocumentCode
323976
Title
The bootstrap: a tool for signal processing
Author
Zoubir, A.M.
Author_Institution
Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia
Volume
1
fYear
1997
fDate
2-5 Nov. 1997
Firstpage
433
Abstract
We review the bootstrap as a tool for signal processing. The bootstrap is a powerful technique for assessing the accuracy of parameter estimators in situations where conventional techniques are not valid. The motivations for using the bootstrap in typical signal processing applications are highlighted and practical examples are given. We demonstrate the use of bootstrap tests in signal detection and investigate its power for model selection of constant amplitude, polynomial phase signals.
Keywords
parameter estimation; reviews; signal detection; signal processing; statistical analysis; bootstrap; bootstrap tests; constant amplitude polynomial phase signals; parameter estimators; review; signal detection; signal processing; Australia; Parameter estimation; Polynomials; Probability; Random processes; Signal detection; Signal processing; Signal sampling; State estimation; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-8186-8316-3
Type
conf
DOI
10.1109/ACSSC.1997.680364
Filename
680364
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