- 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...
Principles of Digital Communications I
12. Nyquist theory, pulse amplitude modulation (PAM), quadrature amplitude modulation (QAM), and frequency translation
Principles of Digital Communications I
Topics Covered:
Introduction: A layered view of digital communication, Memory-less sources, prefix free codes, entropy, Quantization, Nyquist theory, Doppler spread, time spread, coherence time and coherence frequency.
Download this Lecture: MP4 Format FLV Format 3GP format
Introduction: A layered view of digital communication, Memory-less sources, prefix free codes, entropy, Quantization, Nyquist theory, Doppler spread, time spread, coherence time and coherence frequency.
1. Introduction: A layered view of digital communication
Download this Lecture: MP4 Format FLV Format 3GP format
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