ECE 589 - State Estimation and Parameter Identification of Stochastic Systems

Institution:
Indiana University-Fort Wayne
Subject:
Description:
Introduction to point estimation, least squares, Bayes risk, and maximum likelihood. Optimum mean-square recursive estimation for nondynamic stochastic systems. State estimation for discrete-time and continuous-time dynamic systems. Parameter identification of stochastic systems using maximum livelihood. Stochastic approximation, least squares, and random search algorithms. Preparation for Course P: ECE 302. Cr. 3. Dual Level Course Dual Level, Undergraduate-Graduate
Credits:
3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(260) 481-6100
Regional Accreditation:
North Central Association of Colleges and Schools
Calendar System:
Semester

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