45 citations · 94 across the 5 of their papers we have counts for
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physics.flu-dyn2024★ 2 cited
Triple decomposition and sparse representation for noisy pressure-sensitive paint data
Koyo Kubota, Makoto Takagi, Tsubasa Ikami +5
Triple decomposition is a useful analytical method for extracting the mean value, organized coherent motion, and stochastic part from a fluctuating quantity. Although the pressure-…
physics.flu-dyn2021★ 45 cited
Data-Driven Approach for Noise Reduction in Pressure-Sensitive Paint Data Based on Modal Expansion and Time-Series Data at Optimally Placed Points
Tomoki Inoue, Yu Matsuda, Tsubasa Ikami +3
We propose a noise reduction method for unsteady pressure-sensitive paint (PSP) data based on modal expansion, the coefficients of which are determined from time-series data at opt…