Abstract
Abstract It is well-known that the digitization noise variance is Δ2/12 for a continuous time series sampled with the signal resolution Δ. It is also generally accepted that this variance often has a white-power spectral density. We have examined in detail under which circumstances this is the case for turbulent media and found that for a joint Gaussian signal x(t) with variance σ2{x} and a Taylor microscale λ the digitization noise is indeed white if (Δt/λ)(σ{x}/Δ) ≳ t, where Δt is the constant sampling time. Otherwise, the digitization noise tends to be concentrated at lower frequencies. White spectral noise with known variance is easily removed, so from a practical point of view Δt should not be too small.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
