Estimation of Signals and Systems Video Lectures

Estimation of Signals and Systems
'Estimation of Signals and Systems' Video Lectures by Prof. S. Mukhopadhyay from IIT Kharagpur
"Estimation of Signals and Systems" - Video Lectures
1. Introduction
2. Probability Theory
3. Random Variables
4. Function of Random Variable Joint Density
5. Mean and Variance
6. Random Vectors Random Processes
7. Random Processes and Linear Systems
8. Some Numerical Problems
9. Miscellaneous Topics on Random Process
10. Linear Signal Models
11. Linear Mean Sq.Error Estimation
12. Auto Correlation and Power Spectrum Estimation
13. Z-Transform Revisited Eigen Vectors/Values
14. The Concept of Innovation
15. Last Squares Estimation Optimal IIR Filters
16. Introduction to Adaptive Filters
17. State Estimation
18. Kalman Filter-Model and Derivation
19. Kalman Filter-Derivation (Contd...)
20. Estimator Properties
21. The Time-Invariant Kalman Filter
22. Kalman Filter-Case Study
23. System identification Introductory Concepts
24. Linear Regression-Recursive Least Squares
25. Variants of LSE
26. Least Square Estimation
27. Model Order Selection Residual Tests
28. Practical Issues in Identification
29. Estimation Problems in Instrumentation and Control
30. Conclusion
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