The University of Texas at Austin 3 credits Electrical and Computer Engineering
Examine characterization of baseband and passband communication signals and channels, digital modulation, and pulse shaping; optimum receivers in additive white Gaussian noise including matched-filtering, machine learning (ML), and mean average precision (mAP) detection and their bit error probability for M-ary modulation; inter-symbol interference channels, finite impulse response (FIR) and infinite impulse response (IIR) equalization, multicarrier modulation, orthogonal frequency-division multiplexing (OFDM) and frequency domain equalization. Introduction to information theory, channel capacity, error control codes, and ML sequence detection (Viterbi decoding). Explore applications to stationary wireless and wireline channels. Electrical and Computer Engineering 360K and Electrical Engineering 360K may not both be counted. Three lecture hours a week for one semester. Pre/Corequisites: Biomedical Engineering 335, Electrical and Computer Engineering 351K (or Electrical Engineering 351K), or 351H with a grade of at least C-; Biomedical Engineering 343, Electrical and Computer Engineering 313 (or Electrical Engineering 313), or 313H with a grade of at least C-; and credit with a grade of at least C- or registration for Electrical and Computer Engineering 351M (or Electrical Engineering 351M) or 445S (or Electrical Engineering 445S).
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