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Streamlined Genome Sequence Compression using Distributed Source Coding [PDF]

open access: yesCancer Informatics, 2014
We aim at developing a streamlined genome sequence compression algorithm to support alternative miniaturized sequencing devices, which have limited communication, storage, and computation power. Existing techniques that require heavy client (encoder side)
Shuang Wang   +4 more
doaj   +3 more sources

Polar codes for distributed hierarchical source coding [PDF]

open access: yesAdvances in Mathematics of Communications, 2015
We show that polar codes can be used to achieve the rate-distortion functions in the problem of hierarchical source coding also known as the successive refinement problem. We also analyze the distributed version of this problem, constructing a polar coding scheme that achieves the rate distortion functions for successive refinement with side ...
Ye, Min, Barg, Alexander
openaire   +3 more sources

D-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things. [PDF]

open access: yesPLoS ONE, 2018
Spatial correlation between densely deployed sensor nodes in a wireless sensor network (WSN) can be exploited to reduce the power consumption through a proper source coding mechanism such as distributed source coding (DSC).
Metin Aktas   +3 more
doaj   +2 more sources

Rate-Distortion Analysis of Distributed Indirect Source Coding [PDF]

open access: yesEntropy
Motivated by task-oriented semantic communication and distributed learning systems, this paper studies a distributed indirect source coding problem where M correlated sources are independently encoded for a central decoder.
Jiancheng Tang, Qianqian Yang
doaj   +2 more sources

Interleaving Gains for Receive Diversity Schemes of Distributed Turbo Codes in Wireless Half–Duplex Relay Channels [PDF]

open access: yesRadioengineering, 2015
This paper proposes the interleaving gain in two different distributed turbo-coding schemes: Distributed Turbo Codes (DTC) and Distributed Multiple Turbo Codes (DMTC) for half-duplex relay system as an extension of our previous work on turbo coding ...
Tamer H. M. Soliman   +2 more
doaj   +4 more sources

Distributed source coding of video [PDF]

open access: yes, 2015
A foundation for distributed source coding was established in the classic papers of Slepian-Wolf (SW) [1] and Wyner-Ziv (WZ) [2]. This has provided a starting point for work on Distributed Video Coding (DVC), which exploits the source statistics at the decoder side offering shifting processing steps, conventionally performed at the video encoder side ...
Forchhammer, Søren, Van Luong, Huynh
openaire   +3 more sources

U-Shaped Split Federated Learning with Compact Features for Deep Learning-Based Image Coding [PDF]

open access: yesEntropy
U-shaped Split Federated Learning (U-SFL) is a promising paradigm for distributed image coding, offering parallel training capabilities and privacy preservation while mitigating computational burdens on edge devices.
Qizheng Sun   +3 more
doaj   +2 more sources

Source Symbol Purging-Based Distributed Conditional Arithmetic Coding

open access: yesEntropy, 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   +1 more source

Adaptive Distributed Source Coding [PDF]

open access: yesIEEE Transactions on Image Processing, 2012
We consider distributed source coding in the presence of hidden variables that parameterize the statistical dependence among sources. We derive the Slepian-Wolf bound and devise coding algorithms for a block-candidate model of this problem. The encoder sends, in addition to syndrome bits, a portion of the source to the decoder uncoded as doping bits ...
David, Varodayan   +2 more
openaire   +2 more sources

A Low-Complexity and Adaptive Distributed Source Coding Design for Model Aggregation in Distributed Learning

open access: yesIEEE 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

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