Results 211 to 220 of about 1,793 (257)
FRIENDS GUI: A Graphical User Interface for Data Collection and Visualization of Vaping Behavior from a Passive Vaping Monitor. [PDF]
Pranto SI +5 more
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Revisiting Erasure Codes: A Configuration Perspective
Runzhou Han +9 more
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Hardware-efficient quantum error correction via concatenated bosonic qubits. [PDF]
Putterman H +120 more
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"No Man's Land": A Qualitative Exploration of Perceptions of Structural Stigma Among Bisexual Men Compared with Gay Men. [PDF]
Ford JV, Shah AH, Dodge B.
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A New Lower Bound for Noisy Permutation Channels via Divergence Packing. [PDF]
Feng L, Lv G, Li X, Jin Y.
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The Coyolxauhqui Imperative: Dismemberment and Sacred Reintegration in Decolonial Psychiatry. [PDF]
Stewart T.
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Localized statistics decoding for quantum low-density parity-check codes. [PDF]
Hillmann T +5 more
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2006 IEEE International Symposium on Information Theory, 2006
The design of erasure correcting codes and their decoding algorithms is now at the point where capacity achieving codes are available with decoding algorithms that have complexity that is linear in the number of information symbols. One aspect of these codes is that the overhead (number of coded symbols beyond the number of information symbols required
Chris Studholme, Ian F. Blake
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The design of erasure correcting codes and their decoding algorithms is now at the point where capacity achieving codes are available with decoding algorithms that have complexity that is linear in the number of information symbols. One aspect of these codes is that the overhead (number of coded symbols beyond the number of information symbols required
Chris Studholme, Ian F. Blake
openaire +1 more source
Erasure Decoding for Gabidulin Codes
Journal of Mathematical Modelling and Algorithms, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Regis F. Babindamana +1 more
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Erasure Coding for Decentralized Coded Caching
2018 IEEE International Symposium on Information Theory (ISIT), 2018Coded caching can significantly decrease the communication load in peak hours of the network. The gain of caching is maximized in a centralized setting, where the cache content of users are opportunistically designed. In the absence of a centralized placement, users' caches are filled with randomly selected packets of the files.
Hadi Reisizadeh +2 more
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