Network Coding And Data Compression
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Network Coding And Data Compression
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Author : Maryann Simmons
language : en
Publisher: Nova Science Publishers
Release Date : 2015
Network Coding And Data Compression written by Maryann Simmons and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Coding theory categories.
In this book, new developments in network coding and data compression are examined. The first chapter proposes a new multipath transmission scheme that employs network coding at the source for rate-delay adaptation. The second chapter presents the theory, applications and challenges of a physical-layer network coding technique that promises significant improvement to the spectral efficiency and interference mitigation challenges in future heterogenous cellular and wireless networks. In this third chapter, network and distributed turbo coding based HARQ protocol are examined for wireless broadcasting systems. The last three chapters included in this book present three models that are based on Data Envelopment Analysis (DEA) methodology to appropriately evaluate the efficiency of multicast energy and further minimizes energy transmission in wireless networks without affecting the overall network performance; the development of methods of experimental statistical modeling of physical laws and the cascade scheme of data compression in multimode fibre systems.
Network Coding
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Author : Muriel Medard
language : en
Publisher: Academic Press
Release Date : 2012
Network Coding written by Muriel Medard and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
Introduction -- Network coding Fundamentals -- Harnessing Network Coding in Wireless Systems -- Network Coding for Content Distribution and Multimedia Streaming in Peer-to-Peer Networks -- Network Coding in the Real World -- Network Coding and User Cooperation for Streaming and Download Services in LTE Networks -- CONCERTO: Experiences with a Real-World MANET System Based on Network Coding -- Secure Network Coding: Bounds and Algorithms for Secret and Reliable Communications -- Network Coding and Data Compression -- Scaling Laws with Network Coding -- Network Coding in Disruption Tolerant Networks.
Coding For Data And Computer Communications
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Author : David Salomon
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-02-28
Coding For Data And Computer Communications written by David Salomon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-28 with Computers categories.
Details the most important techniques used to make the storage and transmission of data fast, secure, and reliable. Accessible to both specialists and nonspecialists: Avoids complex mathematics
Source Coding And Adaptive Data Compression For Communication Networks
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Author : Howard Steven Nussbaum
language : en
Publisher:
Release Date : 1976
Source Coding And Adaptive Data Compression For Communication Networks written by Howard Steven Nussbaum and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Coding theory categories.
Coding under a fidelity criteria of a class of sources which emit randomly occurring messages is investigated. This class of sources models information carrying processes entering into communication networks. Messages emitted by computer terminals, teletypes, vocoders, and other such devices serve as actual examples. For this class of sources the rate distortion function is derived, and source coding and converse source coding theorems are proven. Employing these theorems, an operational definition of the rate distortion function in terms of message queueing delay, and transmission delay is presented. This definition relates the rate distortion function with the message network delay which is an important measure of performance of a communication network. Also, for such a class of sources, which emit randomly occurring messages, an adaptive data compression scheme is investigated. This scheme utilizes observations of the network congestion to determine the amount of compression a message receives, with the object of minimizing the message delay for a given distortion level.
Adaptive Data Compression
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Author : Ross N. Williams
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Adaptive Data Compression written by Ross N. Williams and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Following an exchange of correspondence, I met Ross in Adelaide in June 1988. I was approached by the University of Adelaide about being an external examiner for this dissertation and willingly agreed. Upon receiving a copy of this work, what struck me most was the scholarship with which Ross approaches and advances this relatively new field of adaptive data compression. This scholarship, coupled with the ability to express himself clearly using figures, tables, and incisive prose, demanded that Ross's dissertation be given a wider audience. And so this thesis was brought to the attention of Kluwer. The modern data compression paradigm furthered by this work is based upon the separation of adaptive context modelling, adaptive statistics, and arithmetic coding. This work offers the most complete bibliography on this subject I am aware of. It provides an excellent and lucid review of the field, and should be equally as beneficial to newcomers as to those of us already in the field.
Application Of Network Coding And Compressed Sensing In Networking
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Author : Mohammad Hamed Firooz
language : en
Publisher:
Release Date : 2013
Application Of Network Coding And Compressed Sensing In Networking written by Mohammad Hamed Firooz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
The growing adoption of data communication has resulted in dramatically higher capacity and performance. Communications engineers have historically optimized Physical (Phy)/Medium Access Control (MAC) layers to increase aggregate network throughput. However, in recent years, researchers have increasingly focused on understanding the other layers in networks, to improve their efficiency. The main objective of this work is to explore applications of recently developed ideas in coding and data acquisition for networking. Network coding has received considerable attention in recent years for its potential for achieving the theoretical upper bound (max-flow min-cut) of network resource utilization via the introduction of coding concepts at the network (IP) layer. Instead of just receiving a packet and forwarding it to the next suitable hop, intermediate nodes perform a linear operation upon receiving packets and broadcast the result to all of their neighbors. In this work, we exploit network coding for various applications in wired and wireless networks. First, we use NC to locate congested links inside a wired network. Then, we investigate the application of network coding in wireless relay networks and wireless broadcasting. Finally, we explore employing network coding for data sharing in wireless ad hoc networks. The idea of compressed sensing is based on the fact that, with some minimal prior knowledge about the data vector of a signal, it is possible to reconstruct that signal (efficiently)) from a very limited number of measurements (samples). Interest in the use of compressed sensing in many applications has grown quickly. In this work, we explore the application of CS in network monitoring and tomography. We will show that most networks routing matrices can be used as measurement matrices in compressed sampling. We provide an upper bound for delay recovery when compressed sensing is used to recover link delays inside networks. Finally, we provide an algorithm for designing a network routing matrix such that network monitoring (or tomography) puts a minimum burden on the network.
Network Aware Source Coding And Communication
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Author : Nima Sarshar
language : en
Publisher: Cambridge University Press
Release Date : 2011-09-08
Network Aware Source Coding And Communication written by Nima Sarshar and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-08 with Technology & Engineering categories.
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.
Variable Length Codes For Data Compression
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Author : David Salomon
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-05
Variable Length Codes For Data Compression written by David Salomon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-05 with Computers categories.
Most data compression methods that are based on variable-length codes employ the Huffman or Golomb codes. However, there are a large number of less-known codes that have useful properties and these can be useful. This book brings this large set of codes to the attention of workers in the field and for students of computer science. The author’s crystal clear style of writing and presentation allows easy access to the topic.
Image And Text Compression
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Author : James A. Storer
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Image And Text Compression written by James A. Storer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
James A. Storer Computer Science Dept. Brandeis University Waltham, MA 02254 Data compression is the process of encoding a body of data to reduce stor age requirements. With Lossless compression, data can be decompressed to be identical to the original, whereas with lossy compression, decompressed data may be an acceptable approximation (according to some fidelity criterion) to the original. For example, with digitized video, it may only be necessary that the decompressed video look as good as the original to the human eye. The two primary functions of data compression are: Storage: The capacity of a storage device can be effectively increased with data compression software or hardware that compresses a body of data on its way to the storage device and decompress it when it is retrieved. Communications: The bandwidth of a digital communication link can be effectively increased by compressing data at the sending end and decom pressing data at the receiving end. Here it can be crucial that compression and decompression can be performed in real time.
Error Correcting Coding And Security For Data Networks
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Author : Grigorii Kabatiansky
language : en
Publisher: John Wiley & Sons
Release Date : 2005-10-31
Error Correcting Coding And Security For Data Networks written by Grigorii Kabatiansky and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-31 with Technology & Engineering categories.
Error correcting coding is often analyzed in terms of its application to the separate levels within the data network in isolation from each other. In this fresh approach, the authors consider the data network as a superchannel (a multi-layered entity) which allows error correcting coding to be evaluated as it is applied to a number of network layers as a whole. By exposing the problems of applying error correcting coding in data networks, and by discussing coding theory and its applications, this original technique shows how to correct errors in the network through joint coding at different network layers. Discusses the problem of reconciling coding applied to different layers using a superchannel approach Includes thorough coverage of all the key codes: linear block codes, Hamming, BCH and Reed-Solomon codes, LDPC codes decoding, as well as convolutional, turbo and iterative coding Considers new areas of application of error correcting codes such as transport coding, code-based cryptosystems and coding for image compression Demonstrates how to use error correcting coding to control such important data characteristics as mean message delay Provides theoretical explanations backed up by numerous real-world examples and practical recommendations Features a companion website containing additional research results including new constructions of LDPC codes, joint error-control coding and synchronization, Reed-Muller codes and their list decoding By progressing from theory through to practical problem solving, this resource contains invaluable advice for researchers, postgraduate students, engineers and computer scientists interested in data communications and applications of coding theory.