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Institution:
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University of Massachusetts-Dartmouth
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Subject:
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Electrical and Computer Engineering
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Description:
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3 hours lecture Prerequisites: ECE 521, 581 Basic concepts and principles of estimation theory. Topics include least squares estimation, recursive least squares estimation, best linear unbiased estimator, Bayes estimation, maximum likelihood estimation, maximum a posteriori estimation, conditional mean, Gauss-Markov random process, Kalman filtering, prediction, smoothing, and nonlinear estimation. Estimator bounds and properties are discussed.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(508) 999-8000
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Regional Accreditation:
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New England Association of Schools and Colleges
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Calendar System:
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Semester
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