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EECE 564 Detection and Estimation of Signals in Noise

Formulation of the detection problem, optimum receiver principles, signal space, maximum likelihood decisions, error performance calculations. Estimation of signals in noise, linear and non-linear estimation, cost functions, recursive mean square estimation, Wiener and Kalman filters.

This course is not eligible for Credit/D/Fail grading.

Credits: 3


Status Section Activity Term Interval Days Start Time End Time Comments
  EECE 564 201 Lecture 2 Tue Thu 12:30 14:00