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Found 2 papers, 1 papers with code
SRMD: Sparse Random Mode Decomposition
Signal decomposition and multiscale signal analysis provide many useful tools for time-frequency analysis.
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data
In this paper, we propose an adaptive group Lasso deep neural network for high-dimensional function approximation where input data are generated from a dynamical system and the target function depends on few active variables or few linear combinations of variables.
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