ECE 5110

ECE 5110

Course information provided by the 2025-2026 Catalog.

Introduction to models for random signals in discrete and continuous time; Markov chains, Poisson process, queuing processes, power spectral densities, Gaussian random process. Response of linear systems to random signals. Elements of estimation and inference as they arise in communications and digital signal processing systems. Extra homework problems, team homework disallowed, higher expectations for mini-projects.


Enrollment Priority Enrollment limited to: graduate students. Recommended prerequisite: ECE 2720, ECE 3100, and ECE 3250 or equivalents.

Last 1 Terms Offered 2025FA

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Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  • 18074 ECE 5110   LEC 030

  • Instruction Mode: In Person