The multiterminal source coding problem has gained prominence recently
due to its relevance to sensor networks. In general, rate-distortion in multiterminal
source coding is an open problem. However, variations of multiterminal source
coding, such as the chief executive officer problem, are addressed in the literature.
In addition, full and partial cooperation among the sensors, and reliability and
robustness against sensor failures are also being investigated in the literature.
In this thesis, multiterminal Gaussian source coding was investigated in
the context of sensor networks. The rate-distortion region was parameterized for a
pair of correlated Gaussian sources using an implicit transform parameter. The
approach made use of established results in multiple descriptor coding using
pairwise orthogonal transforms. / Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering / "December 2006."
Identifer | oai:union.ndltd.org:WICHITA/oai:soar.wichita.edu:10057/665 |
Date | 12 1900 |
Creators | Mahadevaiah, Gowrav Malur |
Contributors | Namuduri, Kameswara |
Source Sets | Wichita State University |
Language | en_US |
Detected Language | English |
Type | Thesis |
Format | 385600 bytes, application/pdf |
Rights | Copyright Gowrav Malur Mahadevaiah, 2006. All rights reserved. |
Page generated in 0.0689 seconds