A DH-KSVD Algorithm for Efficient Compression of Shock Wave Data

To address low training efficiency and poor reconstruction in traditional K Singular Value Decomposition (KSVD) for compressive sensing of shock wave signals, this study proposes an improved algorithm, DH-KSVD, integrating dynamic pruning and hybrid coding. The dynamic pruning mechanism eliminates r...

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Detalles Bibliográficos

Autores principales:	Jiarong Liu, Yonghong Ding, Wenbin You
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-10-01
Colección:	Applied Sciences
Materias:	shock wave signal compressive sensing (CS) k singular value decomposition (KSVD) orthogonal matching pursuit (OMP) least absolute shrinkage and selection operator (LASSO)
Acceso en línea:	https://www.mdpi.com/2076-3417/15/19/10640
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