Digital Communications I Video Lecture series presented by MIT

[Jerome Trent]

Digital Communications I Video Lecture series presented by MIT

Consists of 24 Lectures on various subjects in digital communications put together as an electronics course at MIT.

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1. Introduction
2. Discrete Source Encoding
3. Memory-less Sources, Prefix Free Codes and Entropy
4. Entropy and Asymptotic Equipartition Property
5. Markov Sources and Lempel-ZivUuniversal Codes
6. Quantization
7. High Rate Quantizers and Waveform Encoding
8. Measure: Fourier Series and Fourier Transforms
9. Discrete-time Fourier Transforms and Sampling Theorem
10. Degrees of Freedom, Orthonormal Expansions, and Aliasing
11. Signal Space, Projection Theorem, and Modulation
12. Nyquist Theory, Pulse Amplitude Modulation (PAM),  Quadrature Ampli...
13. Random Processes
14. Jointly Gaussian Random Vectors and Processes and White Gaussian No...
15. Linear Functionals and Filtering of Random Processes
16. Review; Introduction to Detection
17. Detection for Random Vectors and Processes
18. Theorem of Irrelevance, M-ary Detection, and Coding
19. Baseband Detection and Complex Gaussian Processes
20. Introduction of Wireless Communication
21. Doppler Spread, Time Spread, Coherence Time, and Coherence Frequency
22. Discrete-time Baseband Models for Wireless Channels
23. Detection for Flat Rayleigh Fading and Incoherent Channels, and Rak...
24. Case Study— Code Division Multiple Access (CDMA)