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  <title><![CDATA[Ph.D. Dissertation Defense - Suhasini Komarraju]]></title>
  <body><![CDATA[<p><strong>Title</strong><em>:&nbsp; Self calibrating mixed signal/RF systems: Offline and online tuning algorithms and infrastructure</em></p><p><strong>Committee:</strong></p><p>Dr. Abhijit Chatterjee, ECE, Chair, Advisor</p><p>Dr. Jennifer Hasler, ECE</p><p>Dr. Shaolan Li, ECE</p><p>Dr. Suriyaprakash Natarajan, Intel</p><p>Dr. Satish Kumar, ME</p>]]></body>
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      <value><![CDATA[Self calibrating mixed signal/RF systems: Offline and online tuning algorithms and infrastructure ]]></value>
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      <value><![CDATA[<p>With the advances to the semi-conductor industry, highly integrated and sophisticated circuits are developed as system-on-chip. These advances bring forth several challenges such as increased parasitics, increased coupling, diverse range of specifications to be tested and reduced visibility to internal circuit nodes. State-of-the-art test and calibration techniques require expensive equipment on-chip and are time-consuming. Hence the aim of this research is to efficient algorithms for self-calibration of analog/mixed-signal/RF systems that accommodate self-learning capabilities. This research focused on built-in test, post manufacture tuning and real-time adaptation algorithms for mixed-signal/RF systems. The proposed approaches are implemented on a diverse range of circuits such as MIMO receiver, ADC, low drop-out regulator. buck-boost converter and line driver.</p>]]></value>
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      <value><![CDATA[2024-08-22T10:00:00-04:00]]></value>
      <value2><![CDATA[2024-08-22T12:00:00-04:00]]></value2>
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      <timezone><![CDATA[America/New_York]]></timezone>
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      <value><![CDATA[Room 1212, Klaus ]]></value>
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        <url>https://gatech.zoom.us/j/92559850836</url>
        <link_title><![CDATA[Zoom link]]></link_title>
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          <item><![CDATA[ECE Ph.D. Dissertation Defenses]]></item>
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        <value><![CDATA[Other/Miscellaneous]]></value>
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