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4th International Symposium on Turbo Codes & Related Topics : 6th International ITG-Conference on Source and Channel Coding : 3-7 April 2006
| 4th International Symposium on Turbo Codes & Related Topics : 6th International ITG-Conference on Source and Channel Coding : 3-7 April 2006 |
| Pubbl/distr/stampa | Frankfurt am Main, Germany : , : VDE, , 2011 |
| Descrizione fisica | 1 online resource (240 pages) |
| Soggetto topico |
Coding theory
Data compression (Telecommunication) |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996215976503316 |
| Frankfurt am Main, Germany : , : VDE, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bandwidth allocation for video under quality of service constraints / / Bushra Anjum, Harry Perros
| Bandwidth allocation for video under quality of service constraints / / Bushra Anjum, Harry Perros |
| Autore | Anjum Bushra |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (153 p.) |
| Disciplina | 005.746 |
| Collana | FOCUS Networks and Telecommunication Series |
| Soggetto topico | Data compression (Telecommunication) |
| ISBN |
1-119-07317-0
1-119-07315-4 1-119-07316-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Biographies; Bushra Anjum; Harry G. Perros; Acronyms; Introduction; I.1. QoS evolution in the IP network; I.1.1. Real Time Protocol (RTP); I.1.2. Integrated Services (IntServ); I.1.3. Differentiated Services (DiffServ); I.1.4. Multiprotocol Label Switching (MPLS); I.2. Elements of QoS architecture; I.2.1. Traffic classification; I.2.2. Queuing and scheduling policies; I.2.3. Policing of a packet flow; I.2.4. CAC; I.2.5. Traffic engineering; I.3. Problem definition: bandwidth allocation under QoS constraints
I.3.1. Bandwidth allocation based on the packet loss rate - literature reviewI.3.2. Bandwidth allocation based on end-to-end delay - literature review; I.4. Organization of the book; 1: Partitioning the End-to-End QoS Budget to Domains; 1.1. The need for adding percentiles; 1.2. Calculation of the weight function; 1.2.1. Exponential components with identical rate parameters; 1.2.2. Exponential components with different rate parameters; 1.2.3. Two-stage Coxian; 1.3. Interprovider quality of service; 1.4. Single source shortest path using Dijkstra's algorithm; 1.5. Conclusions 2: Bandwidth Allocation for Video: MMPP2 Arrivals2.1. The queueing network under study; 2.2. Single-node decomposition; 2.3. Bandwidth estimation based on bounds; 2.4. Validation; 2.5. Conclusions; 3: Bandwidth Allocation for Video: MAP2 Arrivals; 3.1. The queueing network under study; 3.2. End-to-end delay estimation based on bounds; 3.2.1. The interpolation function; 3.3. Validation; 3.4. Video traces; 3.5. Conclusions; 4: Bandwidth Allocation for Video: Video Traces; 4.1. The proposed algorithm; 4.2. Test traces; 4.3. Bandwidth requirements for homogeneous flows 4.4. Bandwidth allocation under percentile delay and jitter constraints4.5. Bandwidth allocation under percentile delay, average jitter and packet loss rate constraints; 4.6. Conclusions; Bibliography; Index |
| Record Nr. | UNINA-9910132307603321 |
Anjum Bushra
|
||
| London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bandwidth allocation for video under quality of service constraints / / Bushra Anjum, Harry Perros
| Bandwidth allocation for video under quality of service constraints / / Bushra Anjum, Harry Perros |
| Autore | Anjum Bushra |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (153 p.) |
| Disciplina | 005.746 |
| Collana | FOCUS Networks and Telecommunication Series |
| Soggetto topico | Data compression (Telecommunication) |
| ISBN |
1-119-07317-0
1-119-07315-4 1-119-07316-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Biographies; Bushra Anjum; Harry G. Perros; Acronyms; Introduction; I.1. QoS evolution in the IP network; I.1.1. Real Time Protocol (RTP); I.1.2. Integrated Services (IntServ); I.1.3. Differentiated Services (DiffServ); I.1.4. Multiprotocol Label Switching (MPLS); I.2. Elements of QoS architecture; I.2.1. Traffic classification; I.2.2. Queuing and scheduling policies; I.2.3. Policing of a packet flow; I.2.4. CAC; I.2.5. Traffic engineering; I.3. Problem definition: bandwidth allocation under QoS constraints
I.3.1. Bandwidth allocation based on the packet loss rate - literature reviewI.3.2. Bandwidth allocation based on end-to-end delay - literature review; I.4. Organization of the book; 1: Partitioning the End-to-End QoS Budget to Domains; 1.1. The need for adding percentiles; 1.2. Calculation of the weight function; 1.2.1. Exponential components with identical rate parameters; 1.2.2. Exponential components with different rate parameters; 1.2.3. Two-stage Coxian; 1.3. Interprovider quality of service; 1.4. Single source shortest path using Dijkstra's algorithm; 1.5. Conclusions 2: Bandwidth Allocation for Video: MMPP2 Arrivals2.1. The queueing network under study; 2.2. Single-node decomposition; 2.3. Bandwidth estimation based on bounds; 2.4. Validation; 2.5. Conclusions; 3: Bandwidth Allocation for Video: MAP2 Arrivals; 3.1. The queueing network under study; 3.2. End-to-end delay estimation based on bounds; 3.2.1. The interpolation function; 3.3. Validation; 3.4. Video traces; 3.5. Conclusions; 4: Bandwidth Allocation for Video: Video Traces; 4.1. The proposed algorithm; 4.2. Test traces; 4.3. Bandwidth requirements for homogeneous flows 4.4. Bandwidth allocation under percentile delay and jitter constraints4.5. Bandwidth allocation under percentile delay, average jitter and packet loss rate constraints; 4.6. Conclusions; Bibliography; Index |
| Record Nr. | UNINA-9910824558403321 |
|
Anjum Bushra
|
||
| London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Compressed sensing with side information on the feasible region / / Mohammad Rostami
| Compressed sensing with side information on the feasible region / / Mohammad Rostami |
| Autore | Rostami Mohammad |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham [Germany] ; ; New York, : Springer, 2013 |
| Descrizione fisica | 1 online resource (77 p.) |
| Disciplina | 005.746 |
| Collana | Springer briefs in electrical and computer engineering |
| Soggetto topico |
Coding theory
Data compression (Telecommunication) Signal processing - Digital techniques Sampling (Statistics) |
| ISBN | 3-319-00366-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Compressed Sensing -- Compressed Sensing with Side Information on Feasible Region -- Application: Image Deblurring for Optical Imaging -- Application: Surface Reconstruction in Gradient Field -- Conclusions and Future Work. |
| Record Nr. | UNINA-9910741174903321 |
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Rostami Mohammad
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| Cham [Germany] ; ; New York, : Springer, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Compressive sensing for wireless networks / / Zhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA [[electronic resource]]
| Compressive sensing for wireless networks / / Zhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA [[electronic resource]] |
| Autore | Han Zhu <1974-> |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2013 |
| Descrizione fisica | 1 online resource (xiv, 293 pages) : digital, PDF file(s) |
| Disciplina | 621.39/81 |
| Soggetto topico |
Coding theory
Data compression (Telecommunication) Signal processing - Digital techniques Sampling (Statistics) Compressed sensing (Telecommunication) |
| ISBN |
1-107-23547-2
1-107-33656-2 1-107-33490-X 1-139-08849-1 1-107-33249-4 1-107-33324-5 1-107-33573-6 1-299-70766-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910464661903321 |
|
Han Zhu <1974->
|
||
| Cambridge : , : Cambridge University Press, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Compressive sensing for wireless networks / / Zhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA [[electronic resource]]
| Compressive sensing for wireless networks / / Zhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA [[electronic resource]] |
| Autore | Han Zhu <1974-> |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2013 |
| Descrizione fisica | 1 online resource (xiv, 293 pages) : digital, PDF file(s) |
| Disciplina | 621.39/81 |
| Soggetto topico |
Coding theory
Data compression (Telecommunication) Signal processing - Digital techniques Sampling (Statistics) Compressed sensing (Telecommunication) |
| ISBN |
1-107-23547-2
1-107-33656-2 1-107-33490-X 1-139-08849-1 1-107-33249-4 1-107-33324-5 1-107-33573-6 1-299-70766-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910789316603321 |
|
Han Zhu <1974->
|
||
| Cambridge : , : Cambridge University Press, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Compressive sensing for wireless networks / / Zhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA [[electronic resource]]
| Compressive sensing for wireless networks / / Zhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA [[electronic resource]] |
| Autore | Han Zhu <1974-> |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2013 |
| Descrizione fisica | 1 online resource (xiv, 293 pages) : digital, PDF file(s) |
| Disciplina | 621.39/81 |
| Soggetto topico |
Coding theory
Data compression (Telecommunication) Signal processing - Digital techniques Sampling (Statistics) Compressed sensing (Telecommunication) |
| ISBN |
1-107-23547-2
1-107-33656-2 1-107-33490-X 1-139-08849-1 1-107-33249-4 1-107-33324-5 1-107-33573-6 1-299-70766-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910821699103321 |
|
Han Zhu <1974->
|
||
| Cambridge : , : Cambridge University Press, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Distributed source coding : theory, algorithms, and applications / / Pier Luigi Dragotti, Michael Gastpar
| Distributed source coding : theory, algorithms, and applications / / Pier Luigi Dragotti, Michael Gastpar |
| Autore | Dragotti Pier Luigi |
| Pubbl/distr/stampa | Amsterdam ; ; Boston : , : Academic Press/Elsevier, , [2009] |
| Descrizione fisica | 1 online resource (359 p.) |
| Disciplina |
621.382/16 22
621.38216 |
| Soggetto topico |
Data compression (Telecommunication)
Multisensor data fusion Coding theory Electronic data processing - Distributed processing |
| ISBN |
1-282-28683-8
9786612286834 0-08-092274-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Distributed Source Coding; Copyright Page; Table of Contents; List of Contributors; Introduction; Part I: Theory; Chapter 1. Foundations of Distributed Source Coding; 1.1 Introduction; 1.2 Centralized Source Coding; 1.2.1 Lossless Source Coding; 1.2.2 Lossy Source Coding; 1.2.3 Lossy Source Coding for Sources with Memory; 1.2.4 Some Notes on Practical Considerations; 1.3 Distributed Source Coding; 1.3.1 Lossless Source Coding; 1.3.2 Lossy Source Coding; 1.3.3 Interaction; 1.4 Remote Source Coding; 1.4.1 Centralized; 1.4.2 Distributed: The CEO Problem
1.5 Joint Source-channel CodingAcknowledgments; Appendix A: Formal Definitions and Notations; A.1 Notation; A.1.1 Centralized Source Coding; A.1.2 Distributed Source Coding; A.1.3 Remote Source Coding; References; Chapter 2. Distributed Transform Coding; 2.1 Introduction; 2.2 Foundations of Centralized Transform Coding; 2.2.1 Transform Coding Overview; 2.2.2 Lossless Compression; 2.2.3 Quantizers; 2.2.4 Bit Allocation; 2.2.5 Transforms; 2.2.6 Linear Approximation; 2.3 The Distributed Karhunen--Loève Transform; 2.3.1 Problem Statement and Notation; 2.3.2 The Two-terminal Scenario 2.3.3 The Multiterminal Scenario and the Distributed KLT Algorithm2.4 Alternative Transforms; 2.4.1 Practical Distributed Transform Coding with Side Information; 2.4.2 High-rate Analysis of Source Coding with Side Informationat Decoder; 2.5 New Approaches to Distributed Compression with FRI; 2.5.1 Background on Sampling of 2D FRI Signals; 2.5.2 Detailed Example: Coding Scheme for Translatinga Bi-level Polygon; 2.6 Conclusions; References; Chapter 3. Quantization for Distributed Source Coding; 3.1 Introduction; 3.2 Formulation of the Problem; 3.2.1 Conventions 3.2.2 Network Distributed Source Coding3.2.3 Cost, Distortion, and Rate Measures; 3.2.4 Optimal Quantizers and Reconstruction Functions; 3.2.5 Example: Quantization of Side Information; 3.3 Optimal Quantizer Design; 3.3.1 Optimality Conditions; 3.3.2 Lloyd Algorithm for Distributed Quantization; 3.4 Experimental Results; 3.5 High-rate Distributed Quantization; 3.5.1 High-rate WZ Quantization of Clean Sources; 3.5.2 High-rate WZ Quantization of Noisy Sources; 3.5.3 High-rate Network Distributed Quantization; 3.6 Experimental Results Revisited; 3.7 Conclusions; References Chapter 4. Zero-error Distributed Source Coding4.1 Introduction; 4.2 Graph Theoretic Connections; 4.2.1 VLZE Coding and Graphs; 4.2.2 Basic Definitions and Notation; 4.2.3 Graph Entropies; 4.2.4 Graph Capacity; 4.3 Complementary Graph Entropy and VLZE Coding; 4.4 Network Extensions; 4.4.1 Extension 1: VLZE Coding When Side Information May Be Absent; 4.4.2 Extension 2: VLZE Coding with Compound Side Information; 4.5 VLZE Code Design; 4.5.1 Hardness of Optimal Code Design; 4.5.2 Hardness of Coding with Length Constraints; 4.5.3 An Exponential-time Optimal VLZE Code Design Algorithm 4.6 Conclusions |
| Record Nr. | UNINA-9910782886303321 |
|
Dragotti Pier Luigi
|
||
| Amsterdam ; ; Boston : , : Academic Press/Elsevier, , [2009] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Distributed source coding : theory, algorithms, and applications / / Pier Luigi Dragotti, Michael Gastpar
| Distributed source coding : theory, algorithms, and applications / / Pier Luigi Dragotti, Michael Gastpar |
| Autore | Dragotti Pier Luigi |
| Pubbl/distr/stampa | Amsterdam ; ; Boston : , : Academic Press/Elsevier, , [2009] |
| Descrizione fisica | 1 online resource (359 p.) |
| Disciplina |
621.382/16 22
621.38216 |
| Soggetto topico |
Data compression (Telecommunication)
Multisensor data fusion Coding theory Electronic data processing - Distributed processing |
| ISBN |
1-282-28683-8
9786612286834 0-08-092274-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Distributed Source Coding; Copyright Page; Table of Contents; List of Contributors; Introduction; Part I: Theory; Chapter 1. Foundations of Distributed Source Coding; 1.1 Introduction; 1.2 Centralized Source Coding; 1.2.1 Lossless Source Coding; 1.2.2 Lossy Source Coding; 1.2.3 Lossy Source Coding for Sources with Memory; 1.2.4 Some Notes on Practical Considerations; 1.3 Distributed Source Coding; 1.3.1 Lossless Source Coding; 1.3.2 Lossy Source Coding; 1.3.3 Interaction; 1.4 Remote Source Coding; 1.4.1 Centralized; 1.4.2 Distributed: The CEO Problem
1.5 Joint Source-channel CodingAcknowledgments; Appendix A: Formal Definitions and Notations; A.1 Notation; A.1.1 Centralized Source Coding; A.1.2 Distributed Source Coding; A.1.3 Remote Source Coding; References; Chapter 2. Distributed Transform Coding; 2.1 Introduction; 2.2 Foundations of Centralized Transform Coding; 2.2.1 Transform Coding Overview; 2.2.2 Lossless Compression; 2.2.3 Quantizers; 2.2.4 Bit Allocation; 2.2.5 Transforms; 2.2.6 Linear Approximation; 2.3 The Distributed Karhunen--Loève Transform; 2.3.1 Problem Statement and Notation; 2.3.2 The Two-terminal Scenario 2.3.3 The Multiterminal Scenario and the Distributed KLT Algorithm2.4 Alternative Transforms; 2.4.1 Practical Distributed Transform Coding with Side Information; 2.4.2 High-rate Analysis of Source Coding with Side Informationat Decoder; 2.5 New Approaches to Distributed Compression with FRI; 2.5.1 Background on Sampling of 2D FRI Signals; 2.5.2 Detailed Example: Coding Scheme for Translatinga Bi-level Polygon; 2.6 Conclusions; References; Chapter 3. Quantization for Distributed Source Coding; 3.1 Introduction; 3.2 Formulation of the Problem; 3.2.1 Conventions 3.2.2 Network Distributed Source Coding3.2.3 Cost, Distortion, and Rate Measures; 3.2.4 Optimal Quantizers and Reconstruction Functions; 3.2.5 Example: Quantization of Side Information; 3.3 Optimal Quantizer Design; 3.3.1 Optimality Conditions; 3.3.2 Lloyd Algorithm for Distributed Quantization; 3.4 Experimental Results; 3.5 High-rate Distributed Quantization; 3.5.1 High-rate WZ Quantization of Clean Sources; 3.5.2 High-rate WZ Quantization of Noisy Sources; 3.5.3 High-rate Network Distributed Quantization; 3.6 Experimental Results Revisited; 3.7 Conclusions; References Chapter 4. Zero-error Distributed Source Coding4.1 Introduction; 4.2 Graph Theoretic Connections; 4.2.1 VLZE Coding and Graphs; 4.2.2 Basic Definitions and Notation; 4.2.3 Graph Entropies; 4.2.4 Graph Capacity; 4.3 Complementary Graph Entropy and VLZE Coding; 4.4 Network Extensions; 4.4.1 Extension 1: VLZE Coding When Side Information May Be Absent; 4.4.2 Extension 2: VLZE Coding with Compound Side Information; 4.5 VLZE Code Design; 4.5.1 Hardness of Optimal Code Design; 4.5.2 Hardness of Coding with Length Constraints; 4.5.3 An Exponential-time Optimal VLZE Code Design Algorithm 4.6 Conclusions |
| Record Nr. | UNINA-9910818223603321 |
|
Dragotti Pier Luigi
|
||
| Amsterdam ; ; Boston : , : Academic Press/Elsevier, , [2009] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
IET Seminar on Beyond Ka-Band : Meeting the Communication Bandwidth Requirements of the Future : 7 November 2011
| IET Seminar on Beyond Ka-Band : Meeting the Communication Bandwidth Requirements of the Future : 7 November 2011 |
| Pubbl/distr/stampa | Stevenage, England : , : IET, , 2013 |
| Descrizione fisica | 1 online resource (160 pages) |
| Disciplina | 621.382 |
| Soggetto topico |
Broadband communication systems
Data compression (Telecommunication) Artificial satellites in telecommunication |
| ISBN | 1-84919-756-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996278340203316 |
| Stevenage, England : , : IET, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
