Performance Analysis and Modeling of Digital Transmission Systems:
This book is an expanded third edition of the book Performance Analysis of Digital Transmission Systems, originally published in 1990. Second edition of the book titled Digital Transmission Systems: Performance Analysis and Modeling was published in 1998. The book is intended for those who design co...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2004
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| Schriftenreihe: | Information Technology: Transmission, Processing and Storage
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| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | This book is an expanded third edition of the book Performance Analysis of Digital Transmission Systems, originally published in 1990. Second edition of the book titled Digital Transmission Systems: Performance Analysis and Modeling was published in 1998. The book is intended for those who design communication systems and networks. A computer network designer is interested in selecting communication channels, error protection schemes, and link control protocols. To do this efficiently, one needs a mathematical model that accurately predicts system behavior. Two basic problems arise in mathematical modeling: the problem of identifying a system and the problem of applying a model to the system analysis. System identification consists of selecting a class of mathematical objects to describe fundamental properties of the system behavior. We use a specific class of hidden Markov models (HMMs) to model communication systems. This model was introduced by C. E. Shannon more than 50 years ago as a Noisy Discrete Channel with a finite number of states. The model is described by a finite number of matrices whose elements are estimated on the basis of experimental data. We develop several methods of model identification and show their relationship to other methods of data analysis, such as spectral methods, autoregressive moving average CARMA) approximations, and rational transfer function approximations |
| Beschreibung: | 1 Online-Ressource (XXI, 441 p) |
| ISBN: | 9781441990709 |
| DOI: | 10.1007/978-1-4419-9070-9 |
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| discipline | Mathematik |
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| id | DE-604.BV045148700 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:01Z |
| institution | BVB |
| isbn | 9781441990709 |
| language | English |
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| physical | 1 Online-Ressource (XXI, 441 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 2004 |
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| publisher | Springer US |
| record_format | marc |
| series2 | Information Technology: Transmission, Processing and Storage |
| spelling | Turin, William Verfasser aut Performance Analysis and Modeling of Digital Transmission Systems by William Turin Boston, MA Springer US 2004 1 Online-Ressource (XXI, 441 p) txt rdacontent c rdamedia cr rdacarrier Information Technology: Transmission, Processing and Storage This book is an expanded third edition of the book Performance Analysis of Digital Transmission Systems, originally published in 1990. Second edition of the book titled Digital Transmission Systems: Performance Analysis and Modeling was published in 1998. The book is intended for those who design communication systems and networks. A computer network designer is interested in selecting communication channels, error protection schemes, and link control protocols. To do this efficiently, one needs a mathematical model that accurately predicts system behavior. Two basic problems arise in mathematical modeling: the problem of identifying a system and the problem of applying a model to the system analysis. System identification consists of selecting a class of mathematical objects to describe fundamental properties of the system behavior. We use a specific class of hidden Markov models (HMMs) to model communication systems. This model was introduced by C. E. Shannon more than 50 years ago as a Noisy Discrete Channel with a finite number of states. The model is described by a finite number of matrices whose elements are estimated on the basis of experimental data. We develop several methods of model identification and show their relationship to other methods of data analysis, such as spectral methods, autoregressive moving average CARMA) approximations, and rational transfer function approximations Mathematics Information and Communication, Circuits Computer Communication Networks Probability Theory and Stochastic Processes Systems Theory, Control Computer communication systems Information theory System theory Probabilities Erscheint auch als Druck-Ausgabe 9781461347811 https://doi.org/10.1007/978-1-4419-9070-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Turin, William Performance Analysis and Modeling of Digital Transmission Systems Mathematics Information and Communication, Circuits Computer Communication Networks Probability Theory and Stochastic Processes Systems Theory, Control Computer communication systems Information theory System theory Probabilities |
| title | Performance Analysis and Modeling of Digital Transmission Systems |
| title_auth | Performance Analysis and Modeling of Digital Transmission Systems |
| title_exact_search | Performance Analysis and Modeling of Digital Transmission Systems |
| title_full | Performance Analysis and Modeling of Digital Transmission Systems by William Turin |
| title_fullStr | Performance Analysis and Modeling of Digital Transmission Systems by William Turin |
| title_full_unstemmed | Performance Analysis and Modeling of Digital Transmission Systems by William Turin |
| title_short | Performance Analysis and Modeling of Digital Transmission Systems |
| title_sort | performance analysis and modeling of digital transmission systems |
| topic | Mathematics Information and Communication, Circuits Computer Communication Networks Probability Theory and Stochastic Processes Systems Theory, Control Computer communication systems Information theory System theory Probabilities |
| topic_facet | Mathematics Information and Communication, Circuits Computer Communication Networks Probability Theory and Stochastic Processes Systems Theory, Control Computer communication systems Information theory System theory Probabilities |
| url | https://doi.org/10.1007/978-1-4419-9070-9 |
| work_keys_str_mv | AT turinwilliam performanceanalysisandmodelingofdigitaltransmissionsystems |