Various Compressed Sensing Setups Evaluated Against Shannon Sampling Under Constraint of Constant Illumination
نویسندگان
چکیده
منابع مشابه
Shannon Theory for Compressed Sensing
Compressed sensing is a signal processing technique to encode analog sources by real numbers rather than bits, dealing with efficient recovery of a real vector from the information provided by linear measurements. By leveraging the prior knowledge of the signal structure (e.g., sparsity) and designing efficient non-linear reconstruction algorithms, effective compression is achieved by taking a ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Computational Imaging
سال: 2019
ISSN: 2333-9403,2334-0118,2573-0436
DOI: 10.1109/tci.2019.2894950