Sections on important areas such as spread spectrum, cellular communications, and orthogonal frequency-division multiplexing are provided. * Computational examples are included, illustrating how to use the computer as a simulation tool, thereby allowing waveforms, spectra, and performance curves to be generated. * Overviews of the necessary background in signal, system, probability, and random process theory required for the analog and digital communications topics covered in the book. Table of Contents Introduction. Signal and Linear System Analysis. Basic Modulation Techniques. Overview of Probability and Random Variables. Random Signals and Noise. Noise in Modulation Systems. Binary Data Transmission. Advanced Data Communications Topics. Optimum Receivers and Signal-Space Concepts. Information Theory and Coding. Appendix A: Physical Noise Sources. Appendix B: Jointly Gaussian Random Variables. Appendix C: Proof of the Narrowband Noise Model. Appendix D: Zero-Crossing and Origin Encirclement Statistics. Appendix E: Chi-Square Statistics. Appendix F: Quantization of Random Processes. Appendix G: Mathematical and Numeriucal Tables. Bibliography. Author Index. Subject Index.