Electrical Engineering (Estimation of Signals and Systems)

Saturday, July 7, 2012

Lec-22 Kalman Filter-Case Study

Posted by Computer Science at 10:56 AM
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Blog Archive

  • ▼  2012 (29)
    • ▼  July (29)
      • Lec-1 Introduction
      • Lec-2 Probability Theory
      • Lec-3 Random Variables
      • Lec-4 Function of Random Variable Joint Density
      • Lec-5 Mean and Variance
      • Lec-6 Random Vectors Random Processes
      • Lec-7 Random Processes and Linear Systems
      • Lec-8 Some Numerical Problems
      • Lec-9 Miscellaneous Topics on Random Process
      • Lec-10 Linear Signal Models
      • Lec-11 Linear Mean Sq.Error Estimation
      • Lec-12 Auto Correlation and Power Spectrum Estimation
      • lec-13 Z-Transform Revisited Eigen Vectors/Values
      • Lec-14 The Concept of Innovation
      • Lec-15 Last Squares Estimation Optimal IIR Filters
      • Lec-16 Introduction to Adaptive FIlters
      • Lec-17 State Estimation
      • Lec-18 Kalman Filter-Model and Derivation
      • Lec-19 Kalman Filter-Derivation(Contd...)
      • Lec-20 Estimator Properties
      • Lec-21 The Time-Invariant Kalman Filter
      • Lec-22 Kalman Filter-Case Study
      • Lec-24 Linear Regression-Recursive Least Squares
      • Lec-25 Variants of LSE
      • Lec-26 Least Square Estimation
      • Lec-27 Model Order Selection Residual Tests
      • Lec-28 Practical Issues in Identification
      • Lec-29 Estimation Problems in Instrumentation and ...
      • Lec-30 Conclusion

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