Abstract
We explore the duality between lossy compression and channel coding in the operational sense: whether a capacity-achieving encoder-decoder sequence achieves the rate-distortion function of the dual problem when the channel decoder [encoder] is the source compressor [decompressor, resp.], and vice versa. We show that, if used as a lossy compressor, the maximum-likelihood channel decoder of a randomly chosen capacity-achieving codebook achieves the rate-distortion function almost surely. However, operational duality does not hold for every capacity achieving encoder-decoder sequence, or rate-distortion achieving compressor-decompressor sequence. We show that there exist optimal channel coding [lossy compression] schemes, which fail when used for the dual lossy compression [channel coding resp.] problem.
| Original language | English (US) |
|---|---|
| Article number | 5773027 |
| Pages (from-to) | 3171-3179 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Information Theory |
| Volume | 57 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2011 |
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Science Applications
- Library and Information Sciences
Keywords
- Channel coding with cost constraints
- discrete memoryless channels
- discrete memoryless sources
- lossy data compression
- rate-distortion theory
- source-channel coding duality
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