Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 186 tok/s
Gemini 2.5 Pro 52 tok/s Pro
GPT-5 Medium 38 tok/s Pro
GPT-5 High 43 tok/s Pro
GPT-4o 108 tok/s Pro
Kimi K2 173 tok/s Pro
GPT OSS 120B 442 tok/s Pro
Claude Sonnet 4.5 34 tok/s Pro
2000 character limit reached

A Connection between Good Rate-distortion Codes and Backward DMCs (1307.7770v1)

Published 30 Jul 2013 in cs.IT and math.IT

Abstract: Let $Xn\in\mathcal{X}n$ be a sequence drawn from a discrete memoryless source, and let $Yn\in\mathcal{Y}n$ be the corresponding reconstruction sequence that is output by a good rate-distortion code. This paper establishes a property of the joint distribution of $(Xn,Yn)$. It is shown that for $D>0$, the input-output statistics of a $R(D)$-achieving rate-distortion code converge (in normalized relative entropy) to the output-input statistics of a discrete memoryless channel (dmc). The dmc is "backward" in that it is a channel from the reconstruction space $\mathcal{Y}n$ to source space $\mathcal{X}n$. It is also shown that the property does not necessarily hold when normalized relative entropy is replaced by variational distance.

Citations (12)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.