Lectures (Video)
- 1. Introduction
- 2. Discrete source encoding
- 3. Memory-less sources
- 4. Entropy and asymptotic equipartition property
- 5. Markov sources and Lempel-Ziv universal codes
- 6. Quantization
- 7. High rate quantizers and waveform encoding
- 8. Fourier series and fourier transforms
- 9. Discrete-time fourier transforms
- 10. Orthonormal expansions
- 11. Signal space, projection theorem
- 12. Nyquist theory
- 13. Random processes
- 14. Jointly Gaussian random vectors
- 15. Linear functionals
- 16. Review
- 17. Detection for random vectors and processes
- 18. Theorem of irrelevance
- 19. Baseband detection
- 20. Introduction of wireless communication
- 21. Doppler spread, time spread
- 22. Discrete-time baseband models for wireless channels
- 23. Detection for flat rayleigh fading and incoherent channels,
- 24. Case study - CDMA
Principles of Digital Communications I - Lecture 20
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Lecture 20 - Introduction of wireless communication
Introduction of wireless communication
Prof. Robert Gallager, Prof. Lizhong Zheng
6.450 Principles of Digital Communications I, Fall 2006 (videos from Fall 2003) (Massachusetts Institute of Technology: MIT OpenCourseWare) http://ocw.mit.edu Date accessed: 2009-08-03 License: Creative Commons BY-NC-SA |
