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Information reconciliation for erasure channels

Authors: Sherbert, Kyle;

Information reconciliation for erasure channels

Abstract

Say Alice and Bob have n-bit strings which are identical except that Bob's contains t "erasures": the corresponding bit may be either zero or one. Alice will send Bob a message he can use to fill in his erased bits. The Slepian-Wolf bound suggests Alice may send as few as t bits, even when Alice does not know which t bits of are erased. We present several protocols acheiving this bound with varying degrees of success. A binary, linear, and deterministic protocol exists only for t ϵ {0, 1, n-1, n}. A nonbinary protocol exists for any t ≤ n ≤ 2m-1, but requires that erasures occur in m-bit blocks. A nonlinear protocol seems promising, but the theory to prove it in general is difficult to explore. Finally, a probabilistic protocol has no parameter constraints, but has suboptimal communication complexity based on an additional parameter c, and will fail with an error-rate Є dependent on c and t.

http://library.towson.edu/digital/collection/etd/id/60390

(M.S.) -- Towson University, 2017

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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