Streamlined Genome Sequence Compression using Distributed Source Coding [PDF]
Cancer 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
D-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things. [PDF]
PLoS 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
Distributed Source Coding and Its Applications in Relaying-Based Transmission
IEEE Access, 2016 Distributed source coding (DSC) schemes rely on separate encoding but joint decoding of statistically dependent sources, which exhibit correlation. DSC has numerous promising applications ranging from reduced-complexity handheld video communications to ...
Abdulah Jeza Aljohani +2 more
doaj +2 more sources
Distributed Joint Source-Channel Coding in Wireless Sensor Networks
Sensors, 2009 Considering the fact that sensors are energy-limited and the wireless channel conditions in wireless sensor networks, there is an urgent need for a low-complexity coding method with high compression ratio and noise-resisted features.
Lin Zhang, Xuqi Zhu, Yu Liu
doaj +3 more sources
Task-aware Distributed Source Coding under Dynamic Bandwidth [PDF]
Neural Information Processing Systems, 2023 Efficient compression of correlated data is essential to minimize communication overload in multi-sensor networks. In such networks, each sensor independently compresses the data and transmits them to a central node due to limited communication bandwidth.
Po-han Li +7 more
semanticscholar +1 more source
Federated Learning With Lossy Distributed Source Coding: Analysis and Optimization [PDF]
IEEE Transactions on Communications, 2022 Recently, federated learning (FL), which replaces data sharing with model sharing, has emerged as an efficient and privacy-friendly machine learning (ML) paradigm.
Huiyuan Yang, Tian Ding, Xiaojun Yuan
semanticscholar +1 more source
Semantic Filtering and Source Coding in Distributed Wireless Monitoring Systems [PDF]
IEEE Transactions on Communications, 2023 The problem of goal-oriented semantic filtering and timely source coding in multiuser communication systems is considered here. We study a distributed monitoring system in which multiple information sources, each observing a physical process, provide ...
Pouya Agheli +2 more
semanticscholar +1 more source
Image Authentication Using Distributed Source Coding
IEEE Transactions on Image Processing, 2012 Bernd Girod +2 more
exaly +2 more sources
Source Symbol Purging-Based Distributed Conditional Arithmetic Coding
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 +1 more source
Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel [PDF]
ICC 2023 - IEEE International Conference on Communications, 2022 We consider distributed image transmission over a noisy multiple access channel (MAC) using deep joint source-channel coding (DeepJSCC). It is known that Shannon's separation theorem holds when transmitting independent sources over a MAC in the ...
Selim F. Yilmaz +2 more
semanticscholar +1 more source