Results 21 to 30 of about 329,976 (341)
Discrete Applied Mathematics, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
VINCENTI, Rita, H. J. KROLL
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Автоматизация технологических и бизнес-процессов. Background. Computer circuits enable almost every piece of electronics to function. An opportunity for their optimization was found in one of the ways to implement a circuit, which involves a decoder.
M. Onai, H. Skopyk
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Учёные записки Казанского университета: Серия Физико-математические науки, 2020 The model of cellular circuits was considered in a single basis of functional and switching elements, which is built in accordance with the standard basis B0 consisting of Boolean functions x1 & x2, x1 ∨ x2, ˉx1. In this model, both inputs and outputs of
S.A. Lozhkin, V.S. Zizov
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Statistical Decoding 2.0: Reducing Decoding to LPN
, 2022 The security of code-based cryptography relies primarily on the hardness of generic decoding with linear codes. The best generic decoding algorithms are all improvements of an old algorithm due to Prange: they are known under the name of information set decoders (ISD).
Carrier, Kévin +3 more
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Asymptotics of Fingerprinting and Group Testing: Capacity-Achieving Log-Likelihood Decoders [PDF]
, 2014 We study the large-coalition asymptotics of fingerprinting and group testing, and derive explicit decoders that provably achieve capacity for many of the considered models. We do this both for simple decoders (fast but suboptimal) and for joint decoders (
Laarhoven, Thijs
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Cancers, 2021 Non-coding RNAs (ncRNAs) have been considered as unimportant additions to the transcriptome. Yet, in light of numerous studies, it has become clear that ncRNAs play important roles in development, health and disease. Long-ignored, long non-coding RNAs (lncRNAs), ncRNAs made of more than 200 nucleotides have gained attention due to their involvement as ...
Lidia Borkiewicz +4 more
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A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization
IEEE Access, 2021 Dealing with vast amounts of textual data requires the use of efficient systems. Automatic summarization systems are capable of addressing this issue.
Ayesha Ayub Syed +2 more
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Neural-Network-Assisted Polar Code Decoding Schemes
Applied Sciences, 2022 The traditional fast successive-cancellation (SC) decoding algorithm can effectively reduce the decoding steps, but the decoding adopts a sub-optimal algorithm, so it cannot improve the bit error performance. In order to improve the bit error performance
Hengyan Liu +3 more
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Distributed Functional Scalar Quantization Simplified [PDF]
, 2012 Distributed functional scalar quantization (DFSQ) theory provides optimality conditions and predicts performance of data acquisition systems in which a computation on acquired data is desired.
Goyal, Vivek K +2 more
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A Low Density Lattice Decoder via Non-Parametric Belief Propagation [PDF]
, 2009 The recent work of Sommer, Feder and Shalvi presented a new family of codes called low density lattice codes (LDLC) that can be decoded efficiently and approach the capacity of the AWGN channel. A linear time iterative decoding scheme which is based on a
Alexander T. Ihler +3 more
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