The bootstrap and its application in signal processing

Author

Zoubir, Abdelhak M. ; Boashash, Boualem

Author_Institution

Queensland Univ. of Technol., Brisbane, Qld.

Volume

15

Issue

1

fYear

1998

fDate

1/1/1998 12:00:00 AM

Firstpage

56

Lastpage

76

Abstract

The bootstrap is an attractive tool for assessing the accuracy of estimators and testing hypothesis for parameters where conventional techniques are not valid, such as in small data-sample situations. We highlight the motivations for using the bootstrap in typical signal processing applications and give several practical examples. Bootstrap methods for testing statistical hypotheses are described and we provide an analysis of the accuracy of bootstrap tests. We also discuss how the bootstrap can be used to estimate a variance-stabilizing transformation to define a pivotal statistic, and we demonstrate the use of the bootstrap for constructing confidence intervals for flight parameters in a passive acoustic emission problem

Keywords

acoustic emission; acoustic signal detection; acoustic signal processing; aircraft; parameter estimation; signal sampling; statistical analysis; aircraft flight parameters; bootstrap methods; bootstrap tests accuracy; confidence intervals; estimators accuracy; passive acoustic emission; pivotal statistic; signal processing applications; small data-sample; statistical hypothesis testing; variance-stabilizing transformation; Acoustic emission; Acoustic testing; Parameter estimation; Probability; Radar signal processing; Random processes; Signal processing; Signal sampling; State estimation; Statistics;

fLanguage

English

Journal_Title

Signal Processing Magazine, IEEE

Publisher

ieee

ISSN

1053-5888

Type

jour

DOI

10.1109/79.647043

Filename

647043