Results 11 to 20 of about 27,924 (262)

Self dual, reversible and complementary duals constacyclic codes over finite local Frobenius non-chain rings of length 5 and nilpotency index 4.

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2021
Over finite local Frobenius non-chain rings of length 5 and nilpotency index 4 and when the length of the code is relatively prime to the characteristic of the residue field of the ring, the structure of the dual of γ-constacyclic codes is established ...
Castillo-Guillén C. A.   +1 more
doaj   +1 more source

DNA codes over finite local Frobenius non-chain rings of length 5 and nilpotency index 4

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2022
A one to one correspondence between the elements of a finite local Frobenius non-chain ring of length 5 and nilpotency index 4, and k-tuples of DNA codewords is established.
Castillo-Guillén C. A.   +1 more
doaj   +1 more source

Improving data embedding capacity into Base45 encoded strings

open access: yesEngineering Reports, 2023
In the context of data hiding reversible embedding of information into printable string encoded data may provide a solution to store extra bits for various applications.
Marco Botta, Davide Cavagnino
doaj   +1 more source

Reverse-free codes and permutations

open access: yesElectronic Notes in Discrete Mathematics, 2011
Abstract Two codewords ( a 1 , … , a k ) and ( b 1 , … , b k ) form a reverse-free pair if ( a i , a j ) ≠ ( b j , b i ) holds whenever 1 ⩽ i j ⩽ k are indices such that a i ≠ a j . In a reverse-free code, each pair of codewords is reverse-free. The maximum size
Zoltán Füredi   +3 more
openaire   +1 more source

A Family of Reversible BCH Codes

open access: yesCoRR, 2016
Cyclic codes are an interesting class of linear codes due to their efficient encoding and decoding algorithms as well as their theoretical importance. BCH codes form a subclass of cyclic codes and are very important in both theory and practice as they have good error-correcting capability and are widely used in communication systems, storage devices ...
Shuxing Li, Cunsheng Ding, Hao Liu 0011
openaire   +2 more sources

On the code reverse engineering problem [PDF]

open access: yes2008 IEEE International Symposium on Information Theory, 2008
— This article deals with the problem of quantifying how many noisy codewords have to be eavesdropped in order to reverse engineer a code. The main result of this paper is a lower bound on this quantity and the proof that this number is logarithmic in the length for LDPC codes.
Cluzeau, Mathieu, Tillich, Jean-Pierre
openaire   +3 more sources

Reverse–Complement Similarity Codes

open access: yesElectronic Notes in Discrete Mathematics, 2005
Abstract We discuss a general notion of similarity function between two sequences which is based on their common subsequences. This notion arises in some applications of molecular biology [A.G. D'yachkov, P.L. Erdos, A.J. Macula, V.V. Rykov, D.C. Torney, C.-S. Tung, P.A. Vilenkin, and P.S.
Arkadii G. D'yachkov   +3 more
openaire   +1 more source

DNA Codes Over the Ring F₄[U]/〈U³〉

open access: yesIEEE Access, 2020
In this paper, we develop the method for constructing DNA codes of odd length over the finite chain ring $R=\mathbb {F}_{4}[u]/\langle u^{3}\rangle $ , which plays an important role in genetics, bioengineering and DNA computing.
Jie Liu, Hualu Liu
doaj   +1 more source

Essential tools of linear algebra for calculating nuclear spin dynamics of chemically exchanging systems

open access: yesJournal of Magnetic Resonance Open, 2023
In this work, we describe essential tools of linear algebra necessary for calculating the effect of chemical exchange on spin dynamics and polarization transfer in various nuclear magnetic resonance (NMR) experiments.
Jingyan Xu, Danila A. Barskiy
doaj   +1 more source

Reverse Differentiation via Predictive Coding

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2022
Deep learning has redefined AI thanks to the rise of artificial neural networks, which are inspired by neurological networks in the brain. Through the years, this dualism between AI and neuroscience has brought immense benefits to both fields, allowing neural networks to be used in a plethora of applications.
Tommaso Salvatori   +4 more
openaire   +3 more sources

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