Lec-29 Estimation Problems in Instrumentation and Control

Course Lectures

• Lec-1 Introduction

  Prof. S. Mukhopadhyay

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• Lec-2 Probability Theory

  Prof. S. Mukhopadhyay

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• Lec-3 Random Variables

  Prof. S. Mukhopadhyay

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• Lec-4 Function of Random Variable Joint Density

  Prof. S. Mukhopadhyay

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• Lec-5 Mean and Variance

  Prof. S. Mukhopadhyay

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• Lec-6 Random Vectors Random Processes

  Prof. S. Mukhopadhyay

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• Lec-7 Random Processes and Linear Systems

  Prof. S. Mukhopadhyay

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• Lec-8 Some Numerical Problems

  Prof. S. Mukhopadhyay

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• Lec-9 Miscellaneous Topics on Random Process

  Prof. S. Mukhopadhyay

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• Lec-10 Linear Signal Models

  Prof. S. Mukhopadhyay

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• Lec-11 Linear Mean Sq.Error Estimation

  Prof. S. Mukhopadhyay

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• Lec-12 Auto Correlation and Power Spectrum Estimation

  Prof. S. Mukhopadhyay

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• lec-13 Z-Transform Revisited Eigen Vectors/Values

  Prof. S. Mukhopadhyay

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• Lec-14 The Concept of Innovation

  Prof. S. Mukhopadhyay

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• Lec-15 Last Squares Estimation Optimal IIR Filters

  Prof. S. Mukhopadhyay

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• Lec-16 Introduction to Adaptive FIlters

  Prof. S. Mukhopadhyay

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• Lec-17 State Estimation

  Prof. S. Mukhopadhyay

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• Lec-18 Kalman Filter-Model and Derivation

  Prof. S. Mukhopadhyay

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• Lec-19 Kalman Filter-Derivation(Contd...)

  Prof. S. Mukhopadhyay

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• Lec-20 Estimator Properties

  Prof. S. Mukhopadhyay

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• Lec-21 The Time-Invariant Kalman Filter

  Prof. S. Mukhopadhyay

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• Lec-22 Kalman Filter-Case Study

  Prof. S. Mukhopadhyay

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• Lec-23 System identification Introductory Concepts

  Prof. S. Mukhopadhyay

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• Lec-24 Linear Regression-Recursive Least Squares

  Prof. S. Mukhopadhyay

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• Lec-25 Variants of LSE

  Prof. S. Mukhopadhyay

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• Lec-26 Least Square Estimation

  Prof. S. Mukhopadhyay

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• Lec-27 Model Order Selection Residual Tests

  Prof. S. Mukhopadhyay

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• Lec-28 Practical Issues in Identification

  Prof. S. Mukhopadhyay

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• Lec-29 Estimation Problems in Instrumentation and Control

  Prof. S. Mukhopadhyay

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• Lec-30 Conclusion

  Prof. S. Mukhopadhyay

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