Task‐adaptive eigenvector‐based projection (EBP) transform for compressed sensing: A case study of spectroscopic profiling sensor

Abstract The compressed sensing (CS) theory requires the signal to be sparse under some transform. For most signals (e.g., speech and photos), the non‐adaptive transform bases, such as discrete cosine transform (DCT), discrete Fourier transform (DFT), and Walsh‐Hadamard transform (WHT), can meet thi...

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Autores principales:	Yinsheng Zhang, Haiyan Wang, Yongbo Cheng, Xiaolin Qin
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Wiley-VCH 2022-02-01
Colección:	Analytical Science Advances
Materias:	compressed sensing discrete cosine transform discrete Fourier transform eigenvector‐based projection sparsity Walsh‐Hadamard transform
Acceso en línea:	https://doi.org/10.1002/ansa.202100018
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