A concise and approachable introductory text for a single-semester course, organized systematically rather than historically. Combining theory with practical implementation, and accompanied online by PowerPoint slides, a solutions manual, and additional problems, it is ideal for a first communications course.
A concise and approachable introductory text for a single-semester course, organized systematically rather than historically. Combining theory with practical implementation, and accompanied online by PowerPoint slides, a solutions manual, and additional problems, it is ideal for a first communications course.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Daniel W. Bliss is a Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU), and is the Director of ASU's Center for Wireless Information Systems and Computational Architectures. He is a co-author of Adaptive Wireless Communications: MIMO Channels and Networks (Cambridge 2013).
Inhaltsangabe
Preface Part I. Communications Systems: 1. Notation 2. Basic radio 3. Fundamental limits on communications 4. Amplifiers and noise 5. Up- and down-conversion 6. Modulation and demodulation 7. Dispersive channels 8. Error-correcting codes 9. Acquisition and synchronization 10. Radio duplex, access, and networks 11. Multiple-antenna and multiple-Input multiple-output communications 12. Analog radio systems Part II. Mathematical Background: 13. Useful mathematics 14. Probability and statistics 15. Fourier analysis References Index.
Preface Part I. Communications Systems: 1. Notation 2. Basic radio 3. Fundamental limits on communications 4. Amplifiers and noise 5. Up- and down-conversion 6. Modulation and demodulation 7. Dispersive channels 8. Error-correcting codes 9. Acquisition and synchronization 10. Radio duplex, access, and networks 11. Multiple-antenna and multiple-Input multiple-output communications 12. Analog radio systems Part II. Mathematical Background: 13. Useful mathematics 14. Probability and statistics 15. Fourier analysis References Index.
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