Rateless Lossy Compression via the Extremes-Reference-Cited by-同舟云学术

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Rateless Lossy Compression via the Extremes

Published:2016-10 Issue:10 Volume:62 Page:5484-5495
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

No Albert^ORCID,Weissman Tsachy

Funder

NSF Center for Science of Information

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/18/7565673/07542580.pdf?arnumber=7542580

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Minimax Rate-Distortion;IEEE Transactions on Information Theory;2023-12

2. Energy-Limited Joint Source–Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level;Entropy;2023-11-06

3. Deep Learning Algorithms for Secure and Efficient Compression of Genomic Sequence Data;2023 IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET);2023-02-10

4. Incremental Refinements and Multiple Descriptions With Feedback;IEEE Transactions on Information Theory;2022-10

5. CROMqs: An infinitesimal successive refinement lossy compressor for the quality scores;Journal of Bioinformatics and Computational Biology;2020-09-16

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