crossrefElectronics2026-05-07
Application of Deep Machine Learning in Compressed Sensing Reconstruction of Shift-Invariant Spaces
Chenyu Ling, Junyi Luo, Kaibo Shi, Lusheng Liu
This paper proposes a structure-constrained deep reconstruction framework for compressed sensing in shift-invariant spaces (SISs). The reconstruction is formulated as an inverse operator estimation problem derived from the matrix factorization H(ω)=W(ω)A and approximated using a…