Accession Number:

ADA582392

Title:

Compressive Sensing and Coding for Complex Networks

Descriptive Note:

Final rept. Aug 2009-Jun 2012

Corporate Author:

ILLINOIS UNIV AT URBANA COORDINATED SCIENCE LAB

Personal Author(s):

• Milenkovic, Olgica
• Nedich, Angelia

Report Date:

2013-03-01

Pagination or Media Count:

5.0

Abstract:

The focus of the research project was on developing an interdisciplinary, analytical approach to dimensionality reduction, information dissemination, aggregation and monitoring over complex networks. In the course of the projects development, the following system solutions were proposed, analyzed and implemented 1 A novel approach to combating physical and network layer communication errors through the novel framework of network coding, termed Hybrid Network Coding. 2 An algorithmic solution for compressive sensing with side information, termed Sparsely Corrupted Information Bottleneck. 3 A family of distributed vote ordinal data aggregation methods over networks, with applications in social choice theory and bioinformatics.

Descriptors:

• *CODING
• *NETWORKS
• INFORMATION THEORY

Subject Categories:

• Computer Systems
• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE