44 citations · 81 across the 5 of their papers we have counts for
5 papers
Variational mode decomposition analysis of the relationship between low-frequency shock-wave oscillations and buffet cells
Yuya Ohmichi, Yosuke Sugioka
This study investigates the relationship between low-frequency shock-wave oscillations and buffet cells on the main wing of the NASA common research model. The flow conditions were…
Variational Mode Decomposition-Based Nonstationary Coherent Structure Analysis for Spatiotemporal Data
Yuya Ohmichi
The conventional modal analysis techniques face difficulties in handling nonstationary phenomena, such as transient, nonperiodic, or intermittent phenomena. This paper presents a v…
Time-series image denoising of pressure-sensitive paint data by projected multivariate singular spectrum analysis
Yuya Ohmichi, Kohmi Takahashi, Kazuyuki Nakakita
Time-series data, such as unsteady pressure-sensitive paint (PSP) measurement data, may contain a significant amount of random noise. Thus, in this study, we investigated a noise-r…
Stable Dynamic Mode Decomposition Algorithm for Noisy Pressure-Sensitive Paint Measurement Data
Yuya Ohmichi, Yosuke Sugioka, Kazuyuki Nakakita
In this study, we investigated the stability of dynamic mode decomposition (DMD) algorithms to noisy data. To achieve a stable DMD algorithm, we applied the truncated total least s…
Preconditioned dynamic mode decomposition and mode selection algorithms for large datasets using incremental proper orthogonal decomposition
Yuya Ohmichi
This note proposes a simple and general framework of dynamic mode decomposition (DMD) and a mode selection for large datasets. The proposed framework explicitly introduces a precon…