Distributed Information Processing for Battlespace Awareness---Ergodic and Non-Ergodic Interplay

Abstract

Our primary accomplishment is that we cracked the problem of determining the rate region of the vector Gaussian "one-helper" source coding problem. This was one of the most fundamental open problems in information theory, and had withstood repeated attacks by several groups around the world, starting with Liu and Viswanath (2007). The problem is similar to that of determining the capacity region of the Gaussian MIMO broadcast channel, whose solution won two awards from the IEEE Information Theory Society, but the compression version of the problem turned out to be significantly harder. Our proof technique used the method introduced to solve that problem but also used a fundamentally new technique that we call "distortion projection," which essentially involves projecting the problem into a lower-dimensional space where it is easier to analyze. Our results imply that a very simple compression algorithm is optimal for this problem.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 2011
Accession Number
ADA567196

Entities

People

  • Aaron B. Wagner

Organizations

  • Cornell University College of Engineering

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Battlespace
  • Channel Coding
  • Classification
  • Compression
  • Computer Programming
  • Data Compression
  • Distortion
  • Engineering
  • Free-Space Optical Communications
  • Information Processing
  • Information Theory
  • Networks
  • Radar
  • Radio Equipment
  • Sensor Networks

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Operations Research
  • Radio communications and signal processing.

Technology Areas

  • Space