| Titre : | Simulation of communication systems : modeling, methodology, and techniques | | Type de document : | texte imprimé | | Auteurs : | Michel C. Jeruchim, Auteur ; Philip Balaban, Auteur ; K. Sam Shanmugan, Auteur | | Mention d'édition : | 2nd. ed. | | Editeur : | Boston, Dordrecht, London : Kluwer Academic Publishers | | Année de publication : | 2000 | | Collection : | Information Technology: Transmission, Processing and Storage | | Importance : | 907 p. | | Présentation : | couv. ill.,ill. | | Format : | 26,1 cm. | | ISBN/ISSN/EAN : | 9780306462472 | | Langues : | Anglais (eng) | | Index. décimale : | 25-05 Application du traitement numérique du signal | | Résumé : | Since the first edition of this book was published seven years ago, the field of modeling and simulation of communication systems has grown and matured in many ways, and the use of simulation as a day-to-day tool
is now even more common practice. With the current interest in digital mobile communications, a primary area of application of modeling and simulation is now in wireless systems of a different flavor from the `traditional'
ones.
This second edition represents a substantial revision of the first, partly to accommodate the new applications that have arisen. New chapters include material on modeling and simulation of nonlinear
systems, with a complementary section on related measurement techniques, channel modeling and three new case studies; a consolidated set of problems is provided at the end of the book. | | Note de contenu : | Contents
Chapter 1 Introduction
Chapter 2 Simulation and modeling methodology
Chapter 3 Representation of signals and systems in simulation: analytic fundamentals
Chapter 4 Modeling and simulation of linear time-invariant and time-varying systems
Chapter 5 Modeling and simulation of nonlinear systems
Chapter 6 Fundamentals of random variables and random processes for simulation
Chapter 7 Monte Carlo simulation and generation of random numbers
Chapter 8 Modeling of communication system: transmitter and receiver subsystems
Chapter 9 Communication channels and models
Chapter 10 Estimation of parameters in simulation
Chapter 11 Estimation of performance measures from simulation
Chapter 12 Four case studies
Problems and projects. |
Simulation of communication systems : modeling, methodology, and techniques [texte imprimé] / Michel C. Jeruchim, Auteur ; Philip Balaban, Auteur ; K. Sam Shanmugan, Auteur . - 2nd. ed. . - Boston, Dordrecht, London : Kluwer Academic Publishers, 2000 . - 907 p. : couv. ill.,ill. ; 26,1 cm.. - ( Information Technology: Transmission, Processing and Storage) . ISSN : 9780306462472 Langues : Anglais ( eng) | Index. décimale : | 25-05 Application du traitement numérique du signal | | Résumé : | Since the first edition of this book was published seven years ago, the field of modeling and simulation of communication systems has grown and matured in many ways, and the use of simulation as a day-to-day tool
is now even more common practice. With the current interest in digital mobile communications, a primary area of application of modeling and simulation is now in wireless systems of a different flavor from the `traditional'
ones.
This second edition represents a substantial revision of the first, partly to accommodate the new applications that have arisen. New chapters include material on modeling and simulation of nonlinear
systems, with a complementary section on related measurement techniques, channel modeling and three new case studies; a consolidated set of problems is provided at the end of the book. | | Note de contenu : | Contents
Chapter 1 Introduction
Chapter 2 Simulation and modeling methodology
Chapter 3 Representation of signals and systems in simulation: analytic fundamentals
Chapter 4 Modeling and simulation of linear time-invariant and time-varying systems
Chapter 5 Modeling and simulation of nonlinear systems
Chapter 6 Fundamentals of random variables and random processes for simulation
Chapter 7 Monte Carlo simulation and generation of random numbers
Chapter 8 Modeling of communication system: transmitter and receiver subsystems
Chapter 9 Communication channels and models
Chapter 10 Estimation of parameters in simulation
Chapter 11 Estimation of performance measures from simulation
Chapter 12 Four case studies
Problems and projects. |
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