EECE 522
Estimation Theory
Binghamton University · UGRD · Fall 2026
1 section
Catalog description
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.
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Availability not recently verifiedClass #binghamton-EECE522Fall 2026UGRD3 credits
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