Detection and Estimation Theory Lecture 5 Mojtaba Soltanalian- UIC - - PowerPoint PPT Presentation

detection and estimation theory lecture 5
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Detection and Estimation Theory Lecture 5 Mojtaba Soltanalian- UIC - - PowerPoint PPT Presentation

Detection and Estimation Theory Lecture 5 Mojtaba Soltanalian- UIC msol@uic.edu http://msol.people.uic.edu Based on ECE 531 Slides- 2011 (Prof. Natasha Devroye) The Cramer-Rao Lower Bound ---Last Lecture the CRLB give a lower bound on the


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Detection and Estimation Theory Lecture 5

Mojtaba Soltanalian- UIC

msol@uic.edu http://msol.people.uic.edu

Based on ECE 531 Slides- 2011 (Prof. Natasha Devroye)

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The Cramer-Rao Lower Bound

  • --Last Lecture
  • the CRLB give a lower bound on the variance of ANY UNBIASED

estimator

  • does NOT guarantee bound can be obtained
  • IF find an estimator whose variance = CRLB then it’s MVUE
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The Cramer-Rao Lower Bound

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The Cramer-Rao Lower Bound

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The Cramer-Rao Lower Bound

Basis for CRLB

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The Cramer-Rao Lower Bound

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The Cramer-Rao Lower Bound

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The Cramer-Rao Lower Bound

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The Cramer-Rao Lower Bound

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The Cramer-Rao Lower Bound

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The Cramer-Rao Lower Bound

  • -- On the Regularity Condition

* *

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The Cramer-Rao Lower Bound

  • -- Proof (Scalar Case)
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The Cramer-Rao Lower Bound

  • -- Proof (Scalar Case)

CRLB

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The Cramer-Rao Lower Bound

  • -- Proof (Scalar Case)

CRLB

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CRLB examples

See example 3.4

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CRLB and Estimator Efficiency

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Fisher Information

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CRLB Derivation for Signals+WGN