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5 - Using the FFT to Identify Periodic Features in Time-Series

Published online by Cambridge University Press:  01 February 2019

Robin Crockett
Affiliation:
University of Northampton
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Summary

Standard form of forward and inverse Fast Fourier Transform (FFT). Sets up a systematic approach for generating frequency indices and calibrated frequencies for FFT spectra. Develops systematic approach for generating and interpreting amplitude and power spectra as vectors in a complete FFT output data-table with frequency indices. Worked examples using real time-series as typify ‘clean’ and ‘noisy’ data, data with single and multiple frequencies, data with trends.

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Publisher: Cambridge University Press
Print publication year: 2019

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