The bias induced by the Goodman algorithm: Difference between revisions
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The bias induced by the Goodman vibration-coherent corrections algorithm is corrected by dividing the spectrum by <math>1-\frac{1.02N_v}{N_f}</math> where <math>N_v</math> is the number of signals that are used to remove coherent signals in the shear-probe signals and <math>N_f</math> is the number of fft-segments that are used to estimate the shear-spectra. | The bias induced by the Goodman<ref> Goodman, L., Levine, E. R., & Lueck, R. G. (2006). On measuring the terms of the turbulent kinetic energy budget from an AUV. Journal of Atmospheric and Oceanic Technology, 23(7), 977-990. </ref> vibration-coherent corrections algorithm is corrected by dividing the spectrum by <math>1-\frac{1.02N_v}{N_f}</math> where <math>N_v</math> is the number of signals that are used to remove coherent signals in the shear-probe signals and <math>N_f</math> is the number of fft-segments that are used to estimate the shear-spectra. | ||
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Revision as of 16:24, 22 September 2021
The bias induced by the Goodman[1] vibration-coherent corrections algorithm is corrected by dividing the spectrum by [math]\displaystyle{ 1-\frac{1.02N_v}{N_f} }[/math] where [math]\displaystyle{ N_v }[/math] is the number of signals that are used to remove coherent signals in the shear-probe signals and [math]\displaystyle{ N_f }[/math] is the number of fft-segments that are used to estimate the shear-spectra.
References
- ↑ Goodman, L., Levine, E. R., & Lueck, R. G. (2006). On measuring the terms of the turbulent kinetic energy budget from an AUV. Journal of Atmospheric and Oceanic Technology, 23(7), 977-990.
