1998
DOI: 10.1007/s003480050199
|View full text |Cite
|
Sign up to set email alerts
|

Efficient estimation of power spectral density from laser Doppler anemometer data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
21
0

Year Published

2004
2004
2018
2018

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 56 publications
(21 citation statements)
references
References 0 publications
0
21
0
Order By: Relevance
“…The power spectral density investigation was performed at several positions within the flow through the evaluation of the data rate of the (LDA) signal. Within the scope of this work, the "Refined Sample and Hold" method based on Nobach et al [23], and the real auto correlation function was employed. In this case, the autocorrelation function is determined as follows:…”
Section: Pvc Characterisation and Insightsmentioning
confidence: 99%
“…The power spectral density investigation was performed at several positions within the flow through the evaluation of the data rate of the (LDA) signal. Within the scope of this work, the "Refined Sample and Hold" method based on Nobach et al [23], and the real auto correlation function was employed. In this case, the autocorrelation function is determined as follows:…”
Section: Pvc Characterisation and Insightsmentioning
confidence: 99%
“…Furthermore, it is known that LDV measurements can overestimate the energy spectrum at high frequency due to the particle-rate filter effect (Nobach et al 25 demonstrate a clear example). It is possible that the lower rate of decay at higher frequencies, observed by Liu et al 20 ,…”
Section: Experimental Turbulent Energy Spectramentioning
confidence: 99%
“…A preliminary study was conducted on present data to compare several algorithms, including basic interpolation schemes, the refined Sample and Hold with correction from Nobach et al (1998), the fuzzy Slotting algorithm from Van Maanen et al (1999), or the arrival time quantization from Nobach (2016), taking the hot-wire spectrum at z = 1.5h and z = 5h as reference. Based on this preliminary study, it was decided to use the Refined Sample and Hold Algorithm from Nobach et al (1998) for the analysis of our database. Indeed, this algorithm seems to provide the best trade-off between faithfulness, CPU efficiency, and low variance.…”
Section: Algorithms To Estimate Power Spectral Density From Lda Datamentioning
confidence: 99%
“…The temporal auto-correlation is computed from the LDA data using the Refined Sample and Hold algorithm (Nobach et al 1998) already described in Sect. 2.2.…”
Section: Integral Time Scale Of the Flowmentioning
confidence: 99%