Sensing Matrix Design via Capacity Maximization for Block Compressive Sensing Applications
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2018.2884291
Abstract: It is well-established in the compressive sensing (CS) literature that sensing matrices whose elements are drawn from independent random distributions exhibit enhanced reconstruction capabilities. In many CS applications, such as electromagnetic imaging, practical limitations on… read more here.
Keywords: reconstruction; compressive sensing; capacity maximization; sensing matrices ... See more keywords
Entropy loading for capacity maximization of RGB-based visible light communications.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.465195
Abstract: In this work, we propose and experimentally demonstrate an entropy loading technique based on probabilistic constellation shaping for a visible light communication (VLC) system. The aggregated achievable bit rate of a multi-carrier signal is maximized,… read more here.
Keywords: loading capacity; entropy loading; maximization rgb; visible light ... See more keywords