6.450 Principles of Digital Communication
Communication sources and channels; data compression; entropy and the AEP; Lempel-Ziv universal coding; scalar and vector quantization; L2 waveforms; signal space and its representation by sampling and other expansions; aliasing; the Nyquist criterion; PAM and QAM modulation; Gaussian noise and random processes; detection and optimal receivers; fading channels and wireless communication; introduction to communication system design.
This class has 6.011 as a prerequisite.
This class counts for a total of 12 credits. This is a graduate-level class.
You can find more information at the MIT + 6.450 - Google Search site.
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