Simulation of Communication Systems: Modeling, Methodology and Techniques (Hardcover, 2, 2000)

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.