Fast Sampling and Reconstruction for Linear Inverse Problems: From Vectors to Tensors

Signals typical in the real world have different modes, expressed as vectors, matrices, or higher-order tensors. In practice, a target signal is commonly assumed to be linear in the residing factor mode(s) with low-dimensional parameters, and thus can be recovered from partial samples by solving a l...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 70; S. 6376 - 6391
Hauptverfasser:	Wang, Fen, Cheung, Gene, Li, Taihao, Du, Ying, Ruan, Yu-Ping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Complexity theory Image reconstruction Inverse problems Iterative methods Kronecker product linear inverse problem Mathematical models Matrices (mathematics) Matrix decomposition matrix inversion formula Reconstruction Sampling Sampling methods Signal processing algorithms Tensors
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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