Distributed source coding : theory, algorithms and applications / by 233220 Dragotti, Pier Luigi, Gastpar, Michael

Distributed Source Coding Techniques for Lossless Compression of Hyperspectral Images by Barni Mauro, Abrardo Andrea, Magli Enrico, Grangetto Marco

“…<p/> <p>This paper deals with the application of distributed source coding (DSC) theory to remote sensing image compression. …”
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Streamlined Genome Sequence Compression using Distributed Source Coding by Shuang Wang, Xiaoqian Jiang, Feng Chen, Lijuan Cui, Samuel Cheng

“…To tackle this challenge, we carefully examined distributed source coding theory and developed a customized reference-based genome compression protocol to meet the low-complexity need at the client side. …”
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Distributed Source Coding Techniques for Lossless Compression of Hyperspectral Images by Marco Grangetto, Andrea Abrardo, Mauro Barni, Enrico Magli

“…This paper deals with the application of distributed source coding (DSC) theory to remote sensing image compression. …”
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A Mutual Algorithm for Optimizing Distributed Source Coding in Wireless Sensor Networks by Nashat Abughalieh, Kris Steenhaut, Bart Lemmens, Ann Now©

“…The maximum possible network data compression can be achieved using distributed source coding (DSC) techniques when nodes encode at Slepian-Wolf rates. …”
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Identification of Sparse Audio Tampering Using Distributed Source Coding and Compressive Sensing Techniques by Valenzise G, Prandi G, Tagliasacchi M, Sarti A

“…At the content user side, the hash is decoded using distributed source coding tools. If the tampering is sparsifiable or compressible in some orthonormal basis or redundant dictionary, it is possible to identify the time-frequency position of the attack, with a hash size as small as 200 bits/second; the bit saving obtained by introducing distributed source coding ranges between 20% to 70%.…”
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Identification of Sparse Audio Tampering Using Distributed Source Coding and Compressive Sensing Techniques by G. Valenzise, G. Prandi, M. Tagliasacchi, A. Sarti

“…At the content user side, the hash is decoded using distributed source coding tools. If the tampering is sparsifiable or compressible in some orthonormal basis or redundant dictionary, it is possible to identify the time-frequency position of the attack, with a hash size as small as 200 bits/second; the bit saving obtained by introducing distributed source coding ranges between 20% to 70%.…”
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D-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things. by Metin Aktas, Murat Kuscu, Ergin Dinc, Ozgur B Akan

“…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). In this paper, we propose the Decoding Delay-based Distributed Source Coding (D-DSC) to improve the energy efficiency of the classical DSC by employing the decoding delay concept which enables the use of the maximum correlated portion of sensor samples during the event estimation. …”
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A Low-Complexity and Adaptive Distributed Source Coding Design for Model Aggregation in Distributed Learning by Naifu Zhang, Meixia Tao

“…Recently, it is found that local gradients among different worker nodes are correlated. Therefore, distributed source coding (DSC) can be applied to increase communication efficiency by exploiting such correlation. …”
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Tradeoff between compression ratio and decoding delay of distributed source coding for uplink transmissions in machine-type communication by Wen Wang, Jinkang Zhu, Sihai Zhang, Wuyang Zhou

“…A machine-type communications uplink transmission scheme adopting clustered distributed source coding is proposed to balance the compression ratio and decoding delay of distributed source coding where users are divided into independently encoded and decoded clusters. …”
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Source Symbol Purging-Based Distributed Conditional Arithmetic Coding by Jingjian Li, Wei Wang, Hong Mo, Mengting Zhao, Jianhua Chen

Subjects: “…distributed source coding…”
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Distributed Recovery of a Gaussian Source in Interference with Successive Lattice Processing by Christian Chapman, Matthew Kinsinger, Ameya Agaskar, Daniel W. Bliss

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Greedy Iterative and Meta-Heuristic Clustering With Coded Caching and Slepian-Wolf Compression for Correlated Content by Benjamin Rosen, Ling Cheng

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Guessing with Distributed Encoders by Annina Bracher, Amos Lapidoth, Christoph Pfister

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Upper Bound on the Joint Entropy of Correlated Sources Encoded by Good Lattices by Christian Chapman, Daniel W. Bliss

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Improved Deep Distributed Light Field Coding by M. Umair Mukati, Milan Stepanov, Giuseppe Valenzise, Soren Forchhammer, Frederic Dufaux

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Distributed Quantization for Partially Cooperating Sensors Using the Information Bottleneck Method by Steffen Steiner, Abdulrahman Dayo Aminu, Volker Kuehn

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Energy‐efficient data transmission technique for wireless sensor networks based on DSC and virtual MIMO by Manish Kumar Singh, Syed Intekhab Amin

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Asymmetric Joint Source-Channel Coding for Correlated Sources with Blind HMM Estimation at the Receiver by Ser Javier Del, Crespo Pedro M, Galdos Olaia

Subjects: “…distributed source coding…”
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Asymmetric Joint Source-Channel Coding for Correlated Sources with Blind HMM Estimation at the Receiver by Ser Javier Del, Crespo Pedro M., Galdos Olaia

Subjects: “…distributed source coding…”
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