85 citations · 272 across the 6 of their papers we have counts for
4 papers · 1 filter
Fast Greedy Optimization of Sensor Selection in Measurement with Correlated Noise
Keigo Yamada, Yuji Saito, Koki Nankai +3
A greedy algorithm is proposed for sparse-sensor selection in reduced-order sensing that contains correlated noise in measurement. The sensor selection is carried out by maximizing…
Determinant-based Fast Greedy Sensor Selection Algorithm
Yuji Saito, Taku Nonomura, Keigo Yamada +5
In this paper, the sparse sensor placement problem for least-squares estimation is considered, and the previous novel approach of the sparse sensor selection algorithm is extended.…
Quantitative Evaluation of a Linear Reduced-order Model based on Particle-image-velocimetry Data of Separated Flow Field around Airfoil
Taku Nonomura, Koki Nankai, Yuto Iwasaki +2
A quantitative evaluation method for a reduced-order model of the flow field around an NACA0015 airfoil based on particle image velocimetry (PIV) data is proposed in the present pa…
Data-driven Vector-measurement-sensor Selection based on Greedy Algorithm
Yuji Saito, Taku Nonomura, Koki Nankai +4
A vector-measurement-sensor problem for the least squares estimation is considered, by extending a previous novel approach in this paper. An extension of the vector-measurement-sen…