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Electrical & Electronics Engineering

Estimation of Signals and Systems

Estimation of Signals and Systems

01 Introduction Estimation of Signals and Systems

02 Probability Theory

03 Function of Random Variable Joint Density

04 Function of Random Variable Joint Density

05 Mean and Variance

06 Random Vectors Random Processes

07 Random Processes and Linear Systems

08 Some Numerical Problems

09 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

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

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