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Principles of Communication Systems Simulation with Wireless Applications - Tranter, William H. Shanmugan, K. Sam Rappaport, Theodore S.
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Tranter, William H. Shanmugan, K. Sam Rappaport, Theodore S.:
Principles of Communication Systems Simulation with Wireless Applications - Paperback

ISBN: 9780134947907

[ED: Softcover], [PU: PRENTICE HALL], To build communications systems that deliver optimal performance and robustness, engineers must first accurately model them -- and do so with as little complexity as possible. This book is a hands-on, example-rich guide to simulating communications systems. The first book to present complete simulation models built with MATLAB, it offers practical guidance on every key aspect of simulation, as well as detailed models that can serve as laboratories for evaluating the potential impact of changes in system design.KEY TOPICS:The authors begin by introducing the role of simulation in engineering design and analysis, as well as contemporary simulation methodologies. They review the fundamentals of sampling, pulse shaping and discrete system theory then introduce signal and system representations, filter models, and simulation techniques. The book contains detailed coverage of noise generation, Monte Carlo simulation, nonlinear systems, time-varying systems, waveform and discrete channel models, and much more. Detailed case studies are provided, including case studies of phase-locked loops, Monte Carlo simulation, and wideband CDMA systems, as well as an end-to-end simulation of a cellular radio system.MARKET:For all engineers who design or analyze communications systems, and for all engineers who wish to learn simulation techniques. Previously announced in 3/02 catalog. Features + Benefits Real-world simulation techniques. Allows for the analysis of complex and practical systems. Ex.___ Systems level approach. Provides students with a holistic view of communication systems by integrating a variety of concepts that are traditionally presented independently. Ex.___ Worked problems and example simulations. Allows students to see how the techniques should be effectively applied in an actual simulation model. Ex.___ Example simulations using the Student Edition of MATLAB-Carefully documents each example. Ensures that the majority of students will be able make use of the simulation examples since MATLAB is already used extensively in engineering curricula. Ex.___ Modern wireless communications-Including digital cellular techniques. Provides students with practical, real-world experience in developing simulations for the most current specialty in communications. Ex.___ Support materials available on-line. Provides students with necessary MATLAB software code as well as viewgraphs designed to support the course. Ex.___ Backcover The hands-on, example-rich guide to modeling and simulating advanced communications systems. Simulation is an important tool used by engineers to design and implement advanced communication systems that deliver optimal performance. This book is a hands-on, example-rich guide to modeling and simulating advanced communications systems. The authors take a systems-level approach, integrating digital communications, channel modeling, coding, elementary statistical estimation techniques, and other essential facets of modeling and simulation. This is the first book to present complete simulation models built with MATLAB that can serve as virtual laboratories for predicting the impact of system design changes. Coverage includes: Role of simulation in communication systems engineering Simulation approaches and methodologies Signal and system representations, filter models, noise generation, Monte Carlo simulation, and postprocessing Advanced techniques for modeling and simulating nonlinear and time-varying systems Waveform level and discrete channel models Performance estimation via Monte Carlo simulation Semianalytic simulation techniques Variance reduction techniques Co-channel interference in wireless communication systems, and more The authors also present detailed case studies covering phase-locked loops, CDMA systems, multichannel nonlinear systems, as well as a start-to-finish simulation of an advanced cellular radio system. Prentice Hall Series in Communications Engineering & Emerging Technologies, Theodore S. Rappaport, Editor Preface. I. INTRODUCTION. 1. The Role of Simulation. Examples of Complexity. Multidisciplinary Aspects of Simulation. Models. Deterministic and Stochastic Simulations. The Role of Simulation. Software Packages for Simulation. A Word of Warning. The Use of MATLAB. Outline of the Book. Further Reading. 2. Simulation Methodology. Introduction. Aspects of Methodology. Performance Estimation. Summary. Further Reading. Problems. II. FUNDAMENTAL CONCEPTS AND TECHNIQUES. 3. Sampling and Quantizing. Sampling. Quantizing. Reconstruction and Interpolation. The Simulation Sampling Frequency. Summary. Further Reading. References. Problems. 4. Lowpass Simulation Models for Bandpass Signals and Systems. The Lowpass Complex Envelope for Bandpass Signals. Linear Bandpass Systems. Multicarrier Signals. Nonlinear and Time-Varying Systems. Summary. Further Reading. References. Problems. Appendix A: MATLAB Program QAMDEMO. Appendix B: Proof of Input-Output Relationship. 5. Filter Models and Simulation Techniques. Introduction. IIR and FIR Filters. IIR and FIR Filter Implementations. IIR Filters: Synthesis Techniques and Filter Characteristics. FIR Filters: Synthesis Techniques and Filter Characteristics. Summary. Further Reading. References. Problems. Appendix A: Raised Cosine Pulse Example. Appendix B: Square Root Raised Cosine Pulse Example. Appendix C: MATLAB Code and Data for Example 5.11. 6. Case Study: Phase-Locked Loops and Differential Equation Methods. Basic Phase-Locked Loop Concepts. First-Order and Second-Order Loops. Case Study: Simulating the PLL. Solving Differential Equations Using Simulation. Summary. Further Reading. References. Problems. Appendix A: PLL Simulation Program. Appendix B: Preprocessor for PLL Example Simulation. Appendix C: PLL Postprocessor. Appendix D: MATLAB Code for Example 6.3. 7. Generating and Processing Random Signals. Stationary and Ergodic Processes. Uniform Random Number Generators. Mapping Uniform RVs to an Arbitrary pdf. Generating Uncorrelated Gaussian Random Numbers. Generating Correlated Gaussian Random Numbers. Establishing a pdf and a PSD. PN Sequence Generators. Signal Processing. Summary. Further Reading. References. Problems. Appendix A: MATLAB Code for Example 7.11. Main Program: c7 Jakes.m. 8. Postprocessing. Basic Graphical Techniques. Estimation. Coding. Summary. Further Reading. References. Problems. Appendix A: MATLAB Code for Example 8.1. 9. Introduction to Monte Carlo Methods. Fundamental Concepts. Application to Communications Systems-The AWGN Channel. Monte Carlo Integration. Summary. Further Reading. References. Problems. 10. Monte Carlo Simulation of Communication Systems. Two Monte Carlo Examples. Semianalytic Techniques. Summary. References. Problems. Appendix A: Simulation Code for Example 10.1. Appendix B: Simulation Code for Example 10.2. Appendix C: Simulation Code for Example 10.3. Appendix D: Simulation Code for Example 10.4. 11. Methodology for Simulating a Wireless System. System-Level Simplifications and Sampling Rate Considerations. Overall Methodology. Summary. Further Reading. References. Problems. III. ADVANCED MODELS AND SIMULATION TECHNIQUES. 12. Modeling and Simulation of Nonlinearities. Introduction. Modeling and Simulation of Memoryless Nonlinearities. Modeling and Simulation of Nonlinearities with Memory. Techniques for Solving Nonlinear Differential Equations. PLL Example. Summary. Further Reading. References. Problems. Appendix A: Saleh's Model. Appendix B: MATLAB Code for Example 12.2. 13. Modeling and Simulation of Time-Varying Systems. Introduction. Models for LTV Systems. Random Process Models. Simulation Models for LTV Systems. MATLAB Examples. Summary. Further Reading. References. Problems. Appendix A: Code for MATLAB Example 1. Appendix B: Code for MATLAB Example 2. 14. Modeling and Simulation of Waveform Channels. Introduction. Wired and Guided Wave Channels. Radio Channels. Multipath Fading Channels. Modeling Multipath Fading Channels. Random Process Models. Simulation Methodology. Summary. Further Reading. References. Problems. Appendix A: MATLAB Code for Example 14.1. Appendix B: MATLAB Code for Example 14.2. 15. Discrete Channel Models. Introduction. Discrete Memoryless Channel Models. Markov Models for Discrete Channels with Memory. Example HMMs-Gilbert and Fritchman Models. Estimation of Markov Model Parameters. Two Examples. Summary. Further Reading. References. Problems. Appendix A: Error Vector Generation. Appendix B: The Baum-Welch Algorithm. Appendix C: The Semi-Hidden Markov Model. Appendix D: Run-Length Code Generation. Appendix E: Determination of Error-Free Distribution. 16. Efficient Simulation Techniques. Tail Extrapolation. pdf Estimators. Importance Sampling. Summary. Further Reading. References. Problems. Appendix A: MATLAB Code for Example 16.3. 17. Case Study: Simulation of a Cellular Radio System. Introduction. Cellular Radio System. Simulation Methodology. Summary. Further Reading. References. Problems. Appendix A: Program for Generating the Erlang B Chart. Appendix B: Initialization Code for Simulation. Appendix C: Modeling Co-Channel Interference. Appendix D: MATLAB Code for Wilkinson's Method. 18. Two Example Simulations. A Code-Division Multiple Access System. FDM System with a Nonlinear Satellite Transponder. References. Appendix A: MATLAB Code for CDMA Example. Appendix B: Preprocessors for CDMA Application. Appendix C: MATLAB Function c18 errvector.m. Appendix D: MATLAB Code for Satellite FDM Example. Index. About The Authors. Versandfertig in 2-4 Wochen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, offene Rechnung (Vorkasse vorbehalten)

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Principles of Communication Systems Simulation with Wireless Applications - Tranter, William H. / Kosbar, Kurt L. / Shanmugan, K. Sam
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Tranter, William H. / Kosbar, Kurt L. / Shanmugan, K. Sam:
Principles of Communication Systems Simulation with Wireless Applications - used book

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-- All example simulations are developed in MATLAB and are carefully documented - a truly unique feature. -- A large number of worked problems and example simulations. -- Written by some of the world's leaders in communications. To build communications systems that deliver optimal performance and robustness, engineers must first accurately model them -- and do so with as little complexity as possible. This book is a hands-on, example-rich guide to simulating communications systems. The first book to present complete simulation models built with MATLAB, it offers practical guidance on every key aspect of simulation, as well as detailed models that can serve as laboratories for evaluating the potential impact of changes in system design. The authors begin by introducing the role of simulation in engineering design and analysis, as well as contemporary simulation methodologies. They review the fundamentals of sampling, pulse shaping and discrete system theory; then introduce signal and system representations, filter models, and simulation techniques. The book contains detailed coverage of noise generation, Monte Carlo simulation, nonlinear systems, time-varying systems, waveform and discrete channel models, and much more. Detailed case studies are provided, including case studies of phase-locked loops, Monte Carlo simulation, and wideband CDMA systems, as well as an end-to-end simulation of a cellular radio system. Principles of Communication Systems Simulation with Wireless Applications Tranter, William H. / Kosbar, Kurt L. / Shanmugan, K. Sam, Prentice Hall

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Principles of Communication Systems Simulation with Wireless Applications - Theodore S. Rappaport#K. Sam Shanmugan#William H. Tranter
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Theodore S. Rappaport#K. Sam Shanmugan#William H. Tranter:
Principles of Communication Systems Simulation with Wireless Applications - new book

2004, ISBN: 9780134947907

ID: 734684760

To build communications systems that deliver optimal performance and robustness, engineers must first accurately model them -- and do so with as little complexity as possible. This book is a hands-on, example-rich guide to simulating communications systems. The first book to present complete simulation models built with MATLAB, it offers practical guidance on every key aspect of simulation, as well as detailed models that can serve as laboratories for evaluating the potential impact of changes in system design.KEY TOPICS:The authors begin by introducing the role of simulation in engineering design and analysis, as well as contemporary simulation methodologies. They review the fundamentals of sampling, pulse shaping and discrete system theory; then introduce signal and system representations, filter models, and simulation techniques. The book contains detailed coverage of noise generation, Monte Carlo simulation, nonlinear systems, time-varying systems, waveform and discrete channel models, and much more. Detailed case studies are provided, including case studies of phase-locked loops, Monte Carlo simulation, and wideband CDMA systems, as well as an end-to-end simulation of a cellular radio system.MARKET:For all engineers who design or analyze communications systems, and for all engineers who wish to learn simulation techniques. Previously announced in 3/02 catalog. Principles of Communication Systems Simulation with Wireless Applications Bücher > Fremdsprachige Bücher > Englische Bücher Taschenbuch 01.01.2004 Buch (fremdspr.), Prentice Hall, .200

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Principles of Communication Systems Simulation with Wireless Applications - new book

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Principles of Communication Systems Simulation with Wireless Applications To build communications systems that deliver optimal performance and robustness, engineers must first accurately model them -- and do so with as little complexity as possible. This book is a hands-on, example-rich guide to simulating communications systems. The first book to present complete simulation models built with MATLAB, it offers practical guidance on every key aspect of simulation, as well as detailed models that can serve as laboratories for evaluating the potential impact of changes in system design.KEY TOPICS:The authors begin by introducing the role of simulation in engineering design and analysis, as well as contemporary simulation methodologies. They review the fundamentals of sampling, pulse shaping and discrete system theory; then introduce signal and system representations, filter models, and simulation techniques. The book contains detailed coverage of noise generation, Monte Carlo simulation, nonlinear systems, time-varying systems, waveform and discrete channel models, and much more. Detailed case studies are provided, including case studies of phase-locked loops, Monte Carlo simulation, and wideband CDMA systems, as well as an end-to-end simulation of a cellular radio system.MARKET:For all engineers who design or analyze communications systems, and for all engineers who wish to learn simulation techniques. Previously announced in 3/02 catalog. Bücher / Fremdsprachige Bücher / Englische Bücher 978-0-13-494790-7, Prentice Hall

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Principles of Communication Systems Simulation with Wireless Applications - Theodore S. Rappaport#K. Sam Shanmugan#William H. Tranter
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Principles of Communication Systems Simulation with Wireless Applications - new book

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ID: 683581255

To build communications systems that deliver optimal performance and robustness, engineers must first accurately model them -- and do so with as little complexity as possible. This book is a hands-on, example-rich guide to simulating communications systems. The first book to present complete simulation models built with MATLAB, it offers practical guidance on every key aspect of simulation, as well as detailed models that can serve as laboratories for evaluating the potential impact of changes in system design.KEY TOPICS:The authors begin by introducing the role of simulation in engineering design and analysis, as well as contemporary simulation methodologies. They review the fundamentals of sampling, pulse shaping and discrete system theory; then introduce signal and system representations, filter models, and simulation techniques. The book contains detailed coverage of noise generation, Monte Carlo simulation, nonlinear systems, time-varying systems, waveform and discrete channel models, and much more. Detailed case studies are provided, including case studies of phase-locked loops, Monte Carlo simulation, and wideband CDMA systems, as well as an end-to-end simulation of a cellular radio system.MARKET:For all engineers who design or analyze communications systems, and for all engineers who wish to learn simulation techniques. Previously announced in 3/02 catalog. Principles of Communication Systems Simulation with Wireless Applications Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Prentice Hall

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Details of the book
Principles of Communication Systems Simulation with Wireless Applications
Author:

Tranter, William H.; Kosbar, Kurt L.; Shanmugan, K. Sam

Title:

Principles of Communication Systems Simulation with Wireless Applications

ISBN:

Written by some of the world's leaders in communications, this is a hands-on, example-rich guide to simulating communications systems. The book offers practical guidance on every key aspect of simulation, as well as detailed models that can serve as laboratories for evaluating the potential impact of changes in system design.

Details of the book - Principles of Communication Systems Simulation with Wireless Applications


EAN (ISBN-13): 9780134947907
ISBN (ISBN-10): 0134947908
Hardcover
Paperback
Publishing year: 2003
Publisher: Prentice Hall
800 Pages
Weight: 1,361 kg
Language: eng/Englisch

Book in our database since 02.02.2008 18:43:33
Book found last time on 18.06.2017 15:37:06
ISBN/EAN: 0134947908

ISBN - alternate spelling:
0-13-494790-8, 978-0-13-494790-7


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