Compressive Sensing with Low Precision Data Representation: Theory and Applications

Nezihe Merve Gürel
Nezihe Merve Gürel
Kaan Kara
Kaan Kara

arXiv: Machine Learning, 2018.

Cited by: 1|Views49

Abstract:

Modern scientific instruments produce vast amounts of data, which can overwhelm the processing ability of computer systems. Lossy compression of data is an intriguing solution, but comes with its own dangers, such as potential signal loss, and the need for careful parameter optimization. In this work, we focus on a setting where this prob...More

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