6.450 Principles Of Digital Communications course teaches students about the design principles of additive white Gaussian noise channels, Shannon limits and coding techniques related to their performance analysis. This course will introduce students to finite fields, binary linear block codes, binary linear convolutional codes, Reed-Muller codes, Reed-Solomon and BCH codes, and the Viterbi algorithm. In this course students will focus on hard-decision and soft-decision decoding, small signal constellations, and performance analysis and coding benefits.
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