Binghamton University 3 credits EECE
Theory and practice of estimating parameters for discrete-time signals embedded in noise. Application to problems in radar, sonar, emitter location and communication systems. Topics include: Cramer-Rao lower bound, minimum variance unbiased estimation, least squares estimation, maximum likelihood estimation, Bayesian estimation, and Wiener filtering. Prerequisites: EECE 402 or equivalent and ISE 261 or equivalent. Offered every other spring semester. 3 credits.
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