English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We present a constraint-coding scheme to correct asymmetric magnitude-$1$errors in multi-level non-volatile memories. For large numbers of such errors,the scheme is shown to deliver better correction capability compared to knownalternatives, while admitting low-complexity of decoding. Our results includean algebraic formulation of the constraint, necessary and sufficient conditionsfor correctability, a maximum-likelihood decoder running in complexity linearin the alphabet size, and upper bounds on the probability of failing to correct$t$ errors. Besides the superior rate-correction tradeoff, another advantage ofthis scheme over standard error-correcting codes is the flexibility to vary thecode parameters without significant modifications.

A Constrained Coding Scheme for Correcting Asymmetric Magnitude-$1$ Errors in $q$-ary Channels