2009-2010 University Catalog 
  
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2009-2010 University Catalog

IT 830 - Detection and Estimation Theory

Credits: 3
Cross-Listed with ECE 734

Introduction to detection and estimation theory with communication applications. Topics include M-hypotheses, Bayes, minimax, Neyman-Pearson criterion, detection of signals in AWGN and ACGN, Bayes estimation, ML estimation of signal parameters in AWGN and ACGN, estimation of Gaussian waveforms in Gaussian noise, linear MSE estimation, and Kalman and Wiener filters.

Prerequisites
ECE 528, or permission of instructor.

Hours of Lecture or Seminar per week
3
Hours of Lab or Studio per week
0