EE60013: Estimation Of Signals And Systems

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EE60013
Course name Estimation Of Signals And Systems
Offered by Electrical Engineering
Credits 4
L-T-P 3-1-0
Previous Year Grade Distribution
6
5
6
3
3
2


EX A B C D P F
Semester Autumn


Syllabus

Syllabus mentioned in ERP

Recursive least squares (RLS), Consistency of estimation, Weighted LS; Full and reduced order observers, Kalman filter; Parametric models, LS estimation, bias; Generalized least squares (GLS) and instrumental variable (IV) method; Persistently exciting input signal; Likelihood functions and maximum likelihood estimation (MLE); Singular value decomposition (SVD); Stochastic approximation algorithm (STA); Order and structure determination, Yule-Walker equation; Multi-variable system representation, controllability and observability indices; Feedback system identification.


Concepts taught in class

Student Opinion

How to Crack the Paper

Classroom resources

Additional Resources

Time Table

Day 8:00-8:55 am 9:00-9:55 am 10:00-10:55 am 11:00-11:55 am 12:00-12:55 pm 2:00-2:55 pm 3:00-3:55 pm 4:00-4:55 pm 5:00-5:55 pm
Monday N232
Tuesday N232 N232
Wednesday
Thursday N232
Friday