Network-aware source coding and communication - Info and Reading Options
By Nima Sarshar
"Network-aware source coding and communication" was published by Cambridge University Press in 2011 - Cambridge, UK, it has 179 pages and the language of the book is English.
“Network-aware source coding and communication” Metadata:
- Title: ➤ Network-aware source coding and communication
- Author: Nima Sarshar
- Language: English
- Number of Pages: 179
- Publisher: Cambridge University Press
- Publish Date: 2011
- Publish Location: Cambridge, UK
“Network-aware source coding and communication” Subjects and Themes:
- Subjects: ➤ Traffic - Computer programming - Telecommunication - Data processing - Telecommunication, data processing - Telecommunication, traffic
Edition Specifications:
- Pagination: viii, 179 p. :
Edition Identifiers:
- The Open Library ID: OL25149356M - OL16414528W
- Online Computer Library Center (OCLC) ID: 711048287
- Library of Congress Control Number (LCCN): 2011014524
- ISBN-13: 9780521888400
- ISBN-10: 0521888409
- All ISBNs: 0521888409 - 9780521888400
AI-generated Review of “Network-aware source coding and communication”:
"Network-aware source coding and communication" Table Of Contents:
- 1- Machine generated contents note: 1. Introduction; Part I. The Lossless Scenario: 2. Lossless multicast with a single source; 3. Lossless multicast of multiple uncorrelated sources; 4. Lossless multicast of multiple correlated sources; Part II. The Lossy Scenario: 5. Lossy source communication: an approach based on multiple-description codes; 6. Solving the rainbow network flow problem; 7. Continuous rainbow network flow: rainbow network flow with unbounded delay; 8. Practical methods for MDC design; 9. Using progressive codes for lossy source communication; 10. Lossy communication of multiple correlated sources.
"Network-aware source coding and communication" Description:
The Open Library:
"An introduction to the theory and techniques for achieving high quality network communication with the best possible bandwidth economy, this book focuses on network information flow with fidelity. Covering both lossless and lossy source reconstruction, it is illustrated throughout with real-world applications, including sensor networks and multimedia communications. Practical algorithms are presented, developing novel techniques for tackling design problems in joint network-source coding via collaborative multiple description coding, progressive coding, diversity routing and network coding. With systematic introductions to the basic theories of distributed source coding, network coding and multiple description coding, this is an ideal self-contained resource for researchers and students in information theory and network theory"--
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