File:Segment anisotropy.png

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Revision as of 16:35, 5 July 2022 by CynthiaBluteau (talk | contribs) (Example spectra for the Tidal shelf high-quality dataset. About 3h worth is shown, and each spectrum was constructed from 128 s (2.13min) worth of data, which was split into FFT-length of 32 s (2048 samples). The speeds past the sensor vary from a minimum of 0.3 m/s and a maximum of 0.8 m/s. The combination of high <math>\varepsilon<\math> and fast speeds enables using short segments to compute the spectra.)
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Summary

Example spectra for the Tidal shelf high-quality dataset. About 3h worth is shown, and each spectrum was constructed from 128 s (2.13min) worth of data, which was split into FFT-length of 32 s (2048 samples). The speeds past the sensor vary from a minimum of 0.3 m/s and a maximum of 0.8 m/s. The combination of high <math>\varepsilon<\math> and fast speeds enables using short segments to compute the spectra.

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current16:35, 5 July 2022Thumbnail for version as of 16:35, 5 July 20221,200 × 1,200 (217 KB)CynthiaBluteau (talk | contribs)Example spectra for the Tidal shelf high-quality dataset. About 3h worth is shown, and each spectrum was constructed from 128 s (2.13min) worth of data, which was split into FFT-length of 32 s (2048 samples). The speeds past the sensor vary from a minimum of 0.3 m/s and a maximum of 0.8 m/s. The combination of high <math>\varepsilon<\math> and fast speeds enables using short segments to compute the spectra.

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