Simulation of Communication Systems: Modeling, Methodology and Techniques / Edition 2 available in Hardcover
- Pub. Date:
- Springer US
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.
|Series:||Information Technology: Transmission, Processing and Storage|
|Edition description:||2nd ed. 2000|
|Product dimensions:||7.01(w) x 10.00(h) x 0.28(d)|
Table of Contents
Preface to the Second Edition. 1. Introduction. 2. Simulation and Modeling Methodology. 3. Representation of Signals and Systems in Simulation: Analytic Fundamentals. 4. Modeling and Simulation of Linear Time-Invariant and Time-Varying Systems. 5. Modeling and Simulation of Nonlinear Systems. 6. Fundamentals of Random Variables and Random Processes for Simulation. 7. Monte Carlo Simulation and Generation of Random Numbers. 8. Modeling of Communication Systems: Transmitter and Receiver Subsystems. 9. Communication Channels and Models. 10. Estimation of Parameters in Simulation. 11. Estimation of Performance Measures from Simulation. 12. Four Case Studies. Appendices: A. A Collection of Useful Results for the Error Probability of Digital Systems. B. Gaussian Tail Probabilities Q(x) and an Approximation Q°(x). C. Coefficients of the Hermite Polynomials. D. Some Abscissas and Weights for Gaussian Quadrature Integration. E. Chi-Square Probabilities. Index.