2 citations · 2 across the 4 of their papers we have counts for
4 papers
Numerical Spectrum Linking: Identification of Governing PDE via Koopman-Chebyshev Approximation with Resampling
Phonepaserth Sisaykeo, Shogo Muramatsu
A numerical framework is proposed for identifying governing partial differential equations (PDEs) from observational data by establishing a link between observation-driven and equa…
Numerical Spectrum Linking: Identification of Governing PDE via Koopman-Chebyshev Approximation
Phonepaserth Sisaykeo, Shogo Muramatsu
A numerical framework is proposed for identifying partial differential equations (PDEs) governing dynamical systems directly from their observation data using Chebyshev polynomial…
Convolutional Nonlinear Dictionary with Cascaded Structure Filter Banks
Ruiki Kobayashi, Shogo Muramatsu
This study proposes a convolutional nonlinear dictionary (CNLD) for image restoration using cascaded filter banks. Generally, convolutional neural networks (CNN) demonstrate their…
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…