STAT 271 - Filtering of Time Series

Institution:

University of Vermont

Subject:

Description:

Foundations of linear and nonlinear least squares estimation, smoothing and prediction, computational aspects, Kalman filtering, nonlinear filtering, parameter identification, and adaptive filtering. Cross-listed with EE 271. Prerequisite: EE 270. Credits: 3

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.uvm.edu

Phone Number:

(802) 656-3131

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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