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 11
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Lecture 11 - Signal space, projection theorem
Signal space, projection theorem, and modulation
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 |
