A randomized covering-packing duality between source-coding and channel-coding
Mukul Agarwal, Sanjoy MItter

TL;DR
This paper explores a duality between source and channel coding using a randomized covering-packing approach, highlighting their operational relationship under fidelity constraints.
Contribution
It introduces a novel randomized duality framework linking source and channel coding problems through covering and packing concepts.
Findings
Establishes a duality between source and channel coding problems.
Provides an operational perspective on source-channel separation.
Highlights the role of distortion levels in coding duality.
Abstract
A randomized covering-packing duality between source and channel coding will be discussed by considering the source coding problem of coding a source with a certain distortion level and by considering a channel which communicates the source within a certain distortion level. An operational view of source-channel separation for communication with a fidelity criterion will be discussed in brief.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Communication Security Techniques · Speech and Audio Processing · Advanced Data Compression Techniques
