59 citations · 258 across the 20 of their papers we have counts for
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eess.SP2018★ 2 cited
Convolutional-Sparse-Coded Dynamic Mode Decomposition and Its Application to River State Estimation
Yuhei Kaneko, Shogo Muramatsu, Hiroyasu Yasuda +4
This work proposes convolutional-sparse-coded dynamic mode decomposition (CSC-DMD) by unifying extended dynamic mode decomposition (EDMD) and convolutional sparse coding. EDMD is a…
math.OC2018★ 27 cited
Efficient Constrained Signal Reconstruction by Randomized Epigraphical Projection
Shunsuke Ono
This paper proposes a randomized optimization framework for constrained signal reconstruction, where the word "constrained" implies that data-fidelity is imposed as a hard constrai…