Introduction to Digital Communication and Coding

3 credits · College of Engineering catalogue

Advisory Prerequisite: EECS 216 and EECS 301. Enforced Prerequisite: None. (3 credits) Digital transmission of information across discrete and analog channels. Sampling; quantization; noiseless source codes for data compression: Huffman’s algorithm and entropy; block and convolutional channel codes for error correction; channel capacity; digital modulation methods: PSK, MSK, FSK, QAM; matched filter receivers. Performance analysis: power, bandwidth, data rate and error probability.