Sparsity-Enhanced Constrained Least-Squares Spectral Analysis with Greedy-FISTA

The utilization of the inversion-based algorithm for spectral decomposition using constrained least-squares spectral analysis (CLSSA) facilitates a time–frequency spectrum with higher temporal and frequency resolution. The conventional CLSSA algorithm is solved by optimizing an L2-norm regularized l...

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Autores principales:	Guohua Wei, Wubing Deng, Zhenchun Li, Li-Yun Fu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-09-01
Colección:	Remote Sensing
Materias:	least-squares spectral analysis FISTA time–frequency spectrum
Acceso en línea:	https://www.mdpi.com/2072-4292/16/18/3486
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