Results 1 to 10 of about 160 (137)
Fair Numerical Algorithm of Coset Cardinality Spectrum for Distributed Arithmetic Coding [PDF]
Entropy, 2023 As a typical symbol-wise solution of asymmetric Slepian-Wolf coding problem, Distributed Arithmetic Coding (DAC) non-linearly partitions source space into disjoint cosets with unequal sizes.
Yong Fang, Nan Yang
doaj +2 more sources
Source Symbol Purging-Based Distributed Conditional Arithmetic Coding [PDF]
Entropy, 2021 A distributed arithmetic coding algorithm based on source symbol purging and using the context model is proposed to solve the asymmetric Slepian–Wolf problem.
Jingjian Li +4 more
doaj +2 more sources
Trade-offs between Error Exponents and Excess-Rate Exponents of Typical Slepian–Wolf Codes [PDF]
Entropy, 2021 Typical random codes (TRCs) in a communication scenario of source coding with side information in the decoder is the main subject of this work. We study the semi-deterministic code ensemble, which is a certain variant of the ordinary random binning code ...
Ran Tamir (Averbuch), Neri Merhav
doaj +2 more sources
Guessing with Distributed Encoders [PDF]
Entropy, 2019 Two correlated sources emit a pair of sequences, each of which is observed by a different encoder. Each encoder produces a rate-limited description of the sequence it observes, and the two descriptions are presented to a guessing device that repeatedly ...
Annina Bracher +2 more
doaj +2 more sources
Efficient Integration of Rate-Adaptive Reconciliation with Syndrome-Based Error Estimation and Subblock Confirmation for Quantum Key Distribution [PDF]
EntropyAn effective post-processing algorithm is essential for achieving high rates of secret key generation in quantum key distribution. This work introduces an approach to quantum key distribution post-processing by integrating the three main steps into a ...
Patcharapong Treeviriyanupab +1 more
doaj +2 more sources
Multispectral Image Compression Based on DSC Combined with CCSDS-IDC [PDF]
The Scientific World Journal, 2014 Remote sensing multispectral image compression encoder requires low complexity, high robust, and high performance because it usually works on the satellite where the resources, such as power, memory, and processing capacity, are limited.
Jin Li, Fei Xing, Ting Sun, Zheng You
doaj +2 more sources
IEEE Open Journal of the Communications Society, 2022 A major bottleneck in distributed learning is the communication overhead of exchanging intermediate model update parameters between the worker nodes and the parameter server.
Naifu Zhang, Meixia Tao
doaj +1 more source
Coding Theorems for Asynchronous Slepian–Wolf Coding Systems [PDF]
IEEE Transactions on Information Theory, 2020 35 pages, 4 figures, 2 tables, submitted to the IEEE Transactions on Information ...
Tetsunao Matsuta, Tomohiko Uyematsu
openaire +2 more sources
LDPCA Code Construction for Slepian-Wolf Coding [PDF]
IEEE Communications Letters, 2011 Error correcting codes used for Distributed Source Coding (DSC) generally assume a random distribution of errors. However, in certain DSC applications, prediction of the error distribution is possible and thus this assumption fails, resulting in a sub-optimal performance. This letter considers the construction of rate-adaptive Low-Density Parity-Check (
Micallef, Jeffrey J. +2 more
openaire +2 more sources
Rateless Slepian-Wolf Codes [PDF]
Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005., 2006 The design and optimization of rateless codes for Slepian-Wolf encoding are considered. Rateless codes are pro- posed to address two shortcomings of currently available Slepian- Wolf schemes: their fragility to changing source statistics, and their inability to guarantee successful decoding for practical block length.
A.W. Eckford, null Wei Yu
openaire +1 more source