2019
DOI: 10.1017/jfm.2019.864
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Analysis of the hypersonic cross-flow instability with experimental wavenumber distributions

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Cited by 13 publications
(3 citation statements)
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“…a scalogram, using a wavelet transformation. Yates, Tufts & Juliano (2020) have recently utilized this technique to identify localized features of stationary cross-flow vortices over a hypersonic cone. In addition to its localized nature, perturbations in the wavepacket are also qualitatively different in the leading and trailing regions, which precludes statistical stationarity (in time) of the signal.…”
Section: Three-dimensional Transition Mechanisms In Cooled Hblsmentioning
confidence: 99%
“…a scalogram, using a wavelet transformation. Yates, Tufts & Juliano (2020) have recently utilized this technique to identify localized features of stationary cross-flow vortices over a hypersonic cone. In addition to its localized nature, perturbations in the wavepacket are also qualitatively different in the leading and trailing regions, which precludes statistical stationarity (in time) of the signal.…”
Section: Three-dimensional Transition Mechanisms In Cooled Hblsmentioning
confidence: 99%
“…The CWT and the GMWs were used to analyze the time series of the sand bed height fluctuations in separate streamwise positions. Yates et al [55] of stationary cross-flow waves from experimental data. The parameters of the Morse wavelet, similar to other studies presented, were 3 for the value of gamma and 60 for the timebandwidth product.…”
Section: ) Fluid Dynamicsmentioning
confidence: 99%
“…Spectral analyses of such signals are best accomplished by a time-frequency approach, e.g., a scalogram, using a wavelet transformation. Yates et al 50 have recently utilized this technique to identify localized features of stationary cross-flow vortices over a hypersonic cone. In addition to its localized nature, perturbations in the wavepacket are also qualitatively different in the leading and trailing regions, which precludes statistical stationarity (in time) of the signal.…”
Section: V2 Waveform Evolution and Spectramentioning
confidence: 99%