85 citations · 152 across the 2 of their papers we have counts for
3 papers
math.OC2019★ 67 cited
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…
eess.SP2019★ 85 cited
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.…
eess.SP2019
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…