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Fast Fourier transform in the analysis of biomedical data

Yoganathan, Ajit P. and Gupta, Ramesh and Corcoran, William H. (1976) Fast Fourier transform in the analysis of biomedical data. Medical and Biological Engineering, 14 (2). pp. 239-245. ISSN 0025-696X. doi:10.1007/bf02478755. https://resolver.caltech.edu/CaltechAUTHORS:20221004-680171300.6

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Abstract

The fast Fourier transform (f.f.t.) is a powerful technique which facilitates analysis of signals in the frequency domain. This paper reviews some of the important features of the fast Fourier transform which are relevant to its increasing application to biomedical data. A distinction is made between the power spectrum of ergodic signals, computed from the autocorrelation function, and the frequency spectrum of nonstationary biomedical signals. The major practical pitfalls that are encountered in applying the f.f.t. technique to biomedical data are discussed, and practical hints for avoiding such pitfalls are suggested.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/bf02478755DOIArticle
Issue or Number:2
DOI:10.1007/bf02478755
Record Number:CaltechAUTHORS:20221004-680171300.6
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20221004-680171300.6
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:117235
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:12 Oct 2022 23:02
Last Modified:12 Oct 2022 23:02

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