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Everything about Distributed source coding

Problem in information theory and communication

Distributed source coding (DSC) is an important problem in information theory and communication. DSC problems regard the compression of multiple correlated information sources that do not communicate with each other. By modeling the correlation between multiple sources at the decoder side together with channel codes, DSC is able to shift the computational complexity from encoder side to decoder side, therefore provide appropriate frameworks for applications with complexity-constrained sender, such as sensor networks and video/multimedia compression. One of the main properties of distributed source coding is that the computational burden in encoders is shifted to the joint decoder. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Distributed source codingA 5-minute orientation
  2. Skim a recent paper: Semantic Filtering and Source Coding in Distributed Wireless Monitoring SystemsInfluential work since 2022
  3. Pick up a classic book: BibleThe most-reprinted book on the subject
  4. Read the landmark paper: Distributed source coding using syndromes (DISCUS): design and constructionCited 586 times
  5. Go sideways: Slepian–Wolf codingA closely related topic
  6. Go sideways: Progressive Graphics FileA closely related topic

đź“– Definitions

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🗂️ The subject at a glance

  1. History
  2. Theoretical bounds
  3. Virtual channel
  4. Asymmetric DSC vs. symmetric DSC
  5. Practical distributed source coding
  6. Non-asymmetric DSC for more than two sources

🏆 Landmark papers (most cited)

🆕 Influential since 2022

đź“š Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

đź”— Related topics