Compressed sensing with structured sparsity and structured acquisition
نویسندگان
چکیده
منابع مشابه
Compressed sensing with structured sparsity and structured acquisition
Compressed Sensing (CS) is an appealing framework for applications such as Magnetic Resonance Imaging (MRI). However, up-to-date, the sensing schemes suggested by CS theories are made of random isolated measurements, which are usually incompatible with the physics of acquisition. To reflect the physical constraints of the imaging device, we introduce the notion of blocks of measurements: the se...
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ژورنال
عنوان ژورنال: Applied and Computational Harmonic Analysis
سال: 2019
ISSN: 1063-5203
DOI: 10.1016/j.acha.2017.05.005