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Estimation of Signals and Systems. Instructor: Prof. S. Mukhopadhyay, Department of Electrical Engineering, IIT Kharagpur.

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September 25, 2023

UK

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Last updated:

September 25, 2023

Duration:

Unlimited Duration

FREE

This course includes:

Unlimited Duration

Badge on Completion

Certificate of completion

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Description

Estimation of Signals and Systems. Instructor: Prof. S. Mukhopadhyay, Department of Electrical Engineering, IIT Kharagpur.

This course covers lessons on probability theory, random variables, mean and variance, linear signal models, z-transform, Kalman filter, variants of least squares estimation, and estimation problems in instrumentation and control. (from nptel.ac.in)

Course Curriculum

  • Lecture 01 – Introduction Unlimited
  • Lecture 02 – Probability Theory Unlimited
  • Lecture 03 – Random Variables Unlimited
  • Lecture 04 – Function of Random Variable Joint Density Unlimited
  • Lecture 05 – Mean and Variance Unlimited
  • Lecture 06 – Random Vectors, Random Processes Unlimited
  • Lecture 07 – Random Processes and Linear Systems Unlimited
  • Lecture 08 – Some Numerical Problems Unlimited
  • Lecture 09 – Miscellaneous Topics on Random Process Unlimited
  • Lecture 10 – Linear Signal Models Unlimited
  • Lecture 11 – Linear Mean Square Error Estimation Unlimited
  • Lecture 12 – Autocorrelation and Power Spectrum Estimation Unlimited
  • Lecture 13 – z-Transform Revisited, Eigenvectors and Eigenvalues Unlimited
  • Lecture 14 – The Concept of Innovation, Linear Minimum Mean Square Estimation Unlimited
  • Lecture 15 – Least Squares Estimation, Optimal IIR Filters Unlimited
  • Lecture 16 – Introduction to Adaptive Filters Unlimited
  • Lecture 17 – State Estimation Unlimited
  • Lecture 18 – Kalman Filter Model and Derivation Unlimited
  • Lecture 19 – Kalman Filter Derivation (cont.) Unlimited
  • Lecture 20 – Estimator Properties – Algebraic and Probabilistic Unlimited
  • Lecture 21 – The Time Invariant Kalman Filter, Kalman Filter Coloured Noise Unlimited
  • Lecture 22 – Kalman Filter – Case Study Unlimited
  • Lecture 24 – Linear Regression Recursive Least Squares Unlimited
  • Lecture 25 – Variants of Least Squares Estimation Unlimited
  • Lecture 26 – Least Squares Estimation Unlimited
  • Lecture 27 – Model Order Selection Residual Tests Unlimited
  • Lecture 28 – Practical Issues in Identification Unlimited
  • Lecture 29 – Estimation Problems in Instrumentation and Control Unlimited
  • Lecture 30 – Conclusion Unlimited

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