Least-Squares Polynomial Approximation for the Reduction of Frequency Spreading and Gibbs Error in Fourier Analysis
Research output: Contribution to journal › Article › Research › peer-review
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Least-Squares Polynomial Approximation for the Reduction of Frequency Spreading and Gibbs Error in Fourier Analysis. / O'Leary, Paul; Harker, Matthew.
In: IEEE transactions on instrumentation and measurement, 2012, p. 1-27.
In: IEEE transactions on instrumentation and measurement, 2012, p. 1-27.
Research output: Contribution to journal › Article › Research › peer-review
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@article{02a681c3c4e048ae84a81d9a6cad4f13,
title = "Least-Squares Polynomial Approximation for the Reduction of Frequency Spreading and Gibbs Error in Fourier Analysis",
author = "Paul O'Leary and Matthew Harker",
year = "2012",
language = "English",
pages = "1--27",
journal = "IEEE transactions on instrumentation and measurement",
issn = "0018-9456",
publisher = "Institute of Electrical and Electronics Engineers",
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - Least-Squares Polynomial Approximation for the Reduction of Frequency Spreading and Gibbs Error in Fourier Analysis
AU - O'Leary, Paul
AU - Harker, Matthew
PY - 2012
Y1 - 2012
M3 - Article
SP - 1
EP - 27
JO - IEEE transactions on instrumentation and measurement
JF - IEEE transactions on instrumentation and measurement
SN - 0018-9456
ER -
