|Lecture 1. Introduction: A layered view of digital communication|
|Lecture 2. Discrete source encoding|
|Lecture 3. Memory-less sources, prefix free codes, and entropy|
|Lecture 4. Entropy and asymptotic equipartition property|
|Lecture 5. Markov sources and Lempel-Ziv universal codes|
|Lecture 6. Quantization|
|Lecture 7. High rate quantizers and waveform encoding|
|Lecture 8. Measure, fourier series, and fourier transforms|
|Lecture 9. Discrete-time fourier transforms and sampling theorem|
|Case study — code division multiple access (CDMA): Questions/Thoughts?||Ashish Gupta (17)|
|Detection for flat rayleigh fading and incoherent channels, and rake receivers: Questions/Thoughts?||Ashish Gupta (17)|
|Discrete-time baseband models for wireless channels: Questions/Thoughts?||Ashish Gupta (17)|
The course serves as an introduction to the theory and practice behind many of today's communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, 6.451, is offered in the spring.
Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform spaces, detection, and modeling and system design for wireless communication.
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