Master the fundamentals with this accessible and hands-on textbook, interweaving theory and practice. Just-in-time pedagogy, real-world examples, over 130 end-of-chapter problems, instructor solutions and lecture slides, data sets, and Matlab and Python resources make this the ideal textbook for a single-semester introductory course.
Master the fundamentals with this accessible and hands-on textbook, interweaving theory and practice. Just-in-time pedagogy, real-world examples, over 130 end-of-chapter problems, instructor solutions and lecture slides, data sets, and Matlab and Python resources make this the ideal textbook for a single-semester introductory course.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Wayne Stark is Professor of Electrical Engineering and Computer Science at the University of Michigan, and a fellow of the IEEE. He has over forty years of experience in teaching digital communications and has conducted fundamental research on wireless communication systems, for which he has received several awards.
Inhaltsangabe
Contents Preface Acknowledgement List of abbreviations 1. Fundamentals of digital communications 2. Modulation and demodulation 3. Probability, random variables, random processes, signal bandwidth 4. Error probability for binary signals 5. Optimal receivers for M-ary communication 6. Modulation techniques 7. Wireless channels and transmission techniques 8. Block codes 9. Convolutional codes Appendix A. Pseudorandom sequences Appendix B. Trigonometric and fourier transform iIdentities Appendix C. Finite fields and BCH codes Appendix D. Simulation of signals and noise References Index.
Contents Preface Acknowledgement List of abbreviations 1. Fundamentals of digital communications 2. Modulation and demodulation 3. Probability, random variables, random processes, signal bandwidth 4. Error probability for binary signals 5. Optimal receivers for M-ary communication 6. Modulation techniques 7. Wireless channels and transmission techniques 8. Block codes 9. Convolutional codes Appendix A. Pseudorandom sequences Appendix B. Trigonometric and fourier transform iIdentities Appendix C. Finite fields and BCH codes Appendix D. Simulation of signals and noise References Index.
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