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  <title><![CDATA[Ph.D. Dissertation Defense - Andrew Kerr]]></title>
  <body><![CDATA[<p><strong>Title</strong><em>:&nbsp; </em><em>Theoretical Performance Bounds for the Estimation of Target Parameters in Electromagnetic Induction Data</em></p>

<p><strong>Committee:</strong></p>

<p>Dr. James McClellan, ECE, Chair , Advisor</p>

<p>Dr. Waymond Scott, ECE, Co-Advisor</p>

<p>Dr. Aaron Lanterman, ECE</p>

<p>Dr. Gregory Durgin, ECE</p>

<p>Dr. Morris Cohen, ECE</p>

<p>Dr. Yao Xie, ISyE</p>

<p><strong>Abstract: </strong></p>

<p>The objective of this research is to derive and analyze the theoretical performance bounds for the variance of any unbiased estimator (i.e. Cramer-Rao lower bounds) of the target parameters given a set of electromagnetic induction (EMI) measurements of a target. These parameters include the target&#39;s location, tensors, as well as relaxation frequencies. The goal is to provide a framework for assessing the performance of current and future EMI systems and to generate a benchmark for current estimation techniques of these parameters. The framework and corresponding analysis will provide a better understanding of the factors that influence these bounds, giving researchers additional insight to develop better EMI systems and estimators.</p>
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