Electrical - Estimation of Signals and Systems (English)

   Friday, February 14, 2025   

Starting a new Lecture Notes Series on Electrical - Estimation of Signals and Systems

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Electrical - Estimation of Signals and Systems By Lecture Notes together!

Lecture 1: Lec-1 Introduction

Lecture 2: Lec-2 Probability Theory

Lecture 3: Lec-3 Random Variables

Lecture 4: Lec-4 Function of Random Variable Joint Density

Lecture 5: Lec-5 Mean and Variance

Lecture 6: Lec-6 Random Vectors Random Processes

Lecture 7: Lec-7 Random Processes and Linear Systems

Lecture 8: Lec-8 Some Numerical Problems

Lecture 9: Lec-9 Miscellaneous Topics on Random Process

Lecture 10: Lec-10 Linear Signal Models

Lecture 11: Lec-11 Linear Mean Sq.Error Estimation

Lecture 12: Lec-12 Auto Correlation and Power Spectrum Estimation

Lecture 13: lec-13 Z-Transform Revisited Eigen Vectors/Values

Lecture 14: Lec-14 The Concept of Innovation

Lecture 15: Lec-15 Last Squares Estimation Optimal IIR Filters

Lecture 16: Lec-16 Introduction to Adaptive FIlters

Lecture 17: Lec-17 State Estimation

Lecture 18: Lec-18 Kalman Filter-Model and Derivation

Lecture 19: Lec-19 Kalman Filter-Derivation(Contd...)

Lecture 20: Lec-20 Estimator Properties

Lecture 21: Lec-21 The Time-Invariant Kalman Filter

Lecture 22: Lec-22 Kalman Filter-Case Study

Lecture 23: Lec-23 System identification Introductory Concepts

Lecture 24: Lec-24 Linear Regression-Recursive Least Squares

Lecture 25: Lec-25 Variants of LSE

Lecture 26: Lec-26 Least Square Estimation

Lecture 27: Lec-27 Model Order Selection Residual Tests

Lecture 28: Lec-28 Practical Issues in Identification

Lecture 29: Lec-29 Estimation Problems in Instrumentation and Control

Lecture 30: Lec-30 Conclusion