Title :
The bootstrap: a tool for signal processing
Author_Institution :
Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia
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;
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-8316-3
DOI :
10.1109/ACSSC.1997.680364
