Principles of Digital Communications I

• 1. Introduction: A layered view of digital communication
• 2. Discrete source encoding
• 3. Memory-less sources, prefix free codes, and ent...
• 4. Entropy and asymptotic equipartition property
• 5. Markov sources and Lempel-Ziv universal codes
• 6. Quantization
• 7. High rate quantizers and waveform encoding
• 8. Measure, fourier series, and fourier transforms...
• 9. Discrete-time fourier transforms and sampling t...
• 10. Degrees of freedom, orthonormal expansions, an...
• 11. Signal space, projection theorem, and modulati...
• 12. Nyquist theory, pulse amplitude modulation (PA...
• 13. Random processes
• 14. Jointly Gaussian random vectors and processes ...
• 15. Linear functionals and filtering of random pr...
• 16. Review; introduction to detection
• 17. Detection for random vectors and processes
• 18. Theorem of irrelevance, M-ary detection, and c...
• 18. Theorem of irrelevance, M-ary detection, and c...
• 19. Baseband detection and complex Gaussian proces...
• 20. Introduction of wireless communication
• 21. Doppler spread, time spread, coherence time, a...
• 22. Discrete-time baseband models for wireless cha...
• 23. Detection for flat rayleigh fading and incoher...
• 24. Case study code division multiple access (CDMA...