<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>THz | Tak Ming Wong</title><link>https://tak-wong.github.io/tags/thz/</link><atom:link href="https://tak-wong.github.io/tags/thz/index.xml" rel="self" type="application/rss+xml"/><description>THz</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 05 May 2023 00:00:00 +0000</lastBuildDate><image><url>https://tak-wong.github.io/media/icon_hu_14771e4d841b9128.png</url><title>THz</title><link>https://tak-wong.github.io/tags/thz/</link></image><item><title>Optimization-based Enhancement of THz Data and Image</title><link>https://tak-wong.github.io/publications/2023-wong-optimization/</link><pubDate>Fri, 05 May 2023 00:00:00 +0000</pubDate><guid>https://tak-wong.github.io/publications/2023-wong-optimization/</guid><description>&lt;!-- Add the paper text or supplementary notes. Markdown, math, and code are supported. --&gt;
&lt;h2 id="how-to-cite"&gt;How to cite&lt;/h2&gt;
&lt;p&gt;Wong, Tak Ming. &amp;ldquo;Optimization-based enhancement of THz data and image.&amp;rdquo; PhD diss., Dissertation, Siegen, Universität Siegen, 2023.&lt;/p&gt;
&lt;h2 id="bibtex"&gt;Bibtex&lt;/h2&gt;
&lt;pre&gt;&lt;code&gt;@phdthesis{wong2023optimization,
title={Optimization-based enhancement of THz data and image},
author={Wong, Tak Ming},
year={2023},
school={Dissertation, Siegen, Universit{\&amp;quot;a}t Siegen, 2023}
}
&lt;/code&gt;&lt;/pre&gt;</description></item><item><title>Deep Neural Network as an Optimizer for FMCW THz Image Deblurring</title><link>https://tak-wong.github.io/publications/2022-wong-dnn/</link><pubDate>Fri, 25 Nov 2022 00:00:00 +0000</pubDate><guid>https://tak-wong.github.io/publications/2022-wong-dnn/</guid><description>&lt;!-- Add the paper text or supplementary notes. Markdown, math, and code are supported. --&gt;
&lt;h2 id="how-to-cite"&gt;How to cite&lt;/h2&gt;
&lt;p&gt;Wong, Tak Ming, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolıvar, Michael Möller, and Andreas Kolb. &amp;ldquo;Deep Neural Network as an Optimizer for FMCW THz Image Deblurring.&amp;rdquo; ATHENA Research Book, Volume (2022): 13.&lt;/p&gt;
&lt;h2 id="bibtex"&gt;Bibtex&lt;/h2&gt;
&lt;pre&gt;&lt;code&gt;@article{wong2022deep,
title={Deep Neural Network as an Optimizer for FMCW THz Image Deblurring},
author={Wong, Tak Ming and Bauermeister, Hartmut and Kahl, Matthias and Bol{\i}var, Peter Haring and M{\&amp;quot;o}ller, Michael and Kolb, Andreas},
journal={ATHENA Research Book, Volume},
pages={13},
year={2022}
}
&lt;/code&gt;&lt;/pre&gt;</description></item><item><title>Deep Optimization Prior for THz Model Parameter Estimation</title><link>https://tak-wong.github.io/publications/2022-wong-dop/</link><pubDate>Fri, 07 Jan 2022 00:00:00 +0000</pubDate><guid>https://tak-wong.github.io/publications/2022-wong-dop/</guid><description>&lt;!-- Add the paper text or supplementary notes. Markdown, math, and code are supported. --&gt;
&lt;h2 id="how-to-cite"&gt;How to cite&lt;/h2&gt;
&lt;p&gt;Wong, Tak Ming, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolívar, Michael Möller, and Andreas Kolb. &amp;ldquo;Deep optimization prior for thz model parameter estimation.&amp;rdquo; In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 3811-3820. 2022.&lt;/p&gt;
&lt;h2 id="bibtex"&gt;Bibtex&lt;/h2&gt;
&lt;pre&gt;&lt;code&gt;@inproceedings{wong2022deep,
title={Deep optimization prior for thz model parameter estimation},
author={Wong, Tak Ming and Bauermeister, Hartmut and Kahl, Matthias and Bol{\'\i}var, Peter Haring and M{\&amp;quot;o}ller, Michael and Kolb, Andreas},
booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
pages={3811--3820},
year={2022}
}
&lt;/code&gt;&lt;/pre&gt;</description></item><item><title>Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction</title><link>https://tak-wong.github.io/publications/2019-wong-training/</link><pubDate>Fri, 25 Oct 2019 00:00:00 +0000</pubDate><guid>https://tak-wong.github.io/publications/2019-wong-training/</guid><description>&lt;!-- Add the paper text or supplementary notes. Markdown, math, and code are supported. --&gt;
&lt;h2 id="how-to-cite"&gt;How to cite&lt;/h2&gt;
&lt;p&gt;Wong, Tak Ming, Matthias Kahl, Peter Haring-Bolívar, Andreas Kolb, and Michael Möller. &amp;ldquo;Training auto-encoder-based optimizers for terahertz image reconstruction.&amp;rdquo; In German Conference on Pattern Recognition, pp. 93-106. Cham: Springer International Publishing, 2019.&lt;/p&gt;
&lt;h2 id="bibtex"&gt;Bibtex&lt;/h2&gt;
&lt;pre&gt;&lt;code&gt;@inproceedings{wong2019training,
title={Training auto-encoder-based optimizers for terahertz image reconstruction},
author={Wong, Tak Ming and Kahl, Matthias and Haring-Bol{\'\i}var, Peter and Kolb, Andreas and M{\&amp;quot;o}ller, Michael},
booktitle={German Conference on Pattern Recognition},
pages={93--106},
year={2019},
organization={Springer}
}
&lt;/code&gt;&lt;/pre&gt;</description></item><item><title>Computational Image Enhancement for Frequency Modulated Continuous Wave (FMCW) THz Image</title><link>https://tak-wong.github.io/publications/2019-wong-computational/</link><pubDate>Tue, 02 Jul 2019 00:00:00 +0000</pubDate><guid>https://tak-wong.github.io/publications/2019-wong-computational/</guid><description>&lt;!-- Add the paper text or supplementary notes. Markdown, math, and code are supported. --&gt;
&lt;h2 id="how-to-cite"&gt;How to cite&lt;/h2&gt;
&lt;p&gt;Wong, Tak Ming, Matthias Kahl, Peter Haring Bolívar, and Andreas Kolb. &amp;ldquo;Computational image enhancement for frequency modulated continuous wave (FMCW) THz image.&amp;rdquo; Journal of Infrared, Millimeter, and Terahertz Waves 40 (2019): 775-800.&lt;/p&gt;
&lt;h2 id="bibtex"&gt;Bibtex&lt;/h2&gt;
&lt;pre&gt;&lt;code&gt;@article{wong2019computational,
title={Computational image enhancement for frequency modulated continuous wave (FMCW) THz image},
author={Wong, Tak Ming and Kahl, Matthias and Haring Bol{\'\i}var, Peter and Kolb, Andreas},
journal={Journal of Infrared, Millimeter, and Terahertz Waves},
volume={40},
pages={775--800},
year={2019},
publisher={Springer}
}
&lt;/code&gt;&lt;/pre&gt;</description></item><item><title>Advanced signal processing techniques for THz imaging and sensing enhancement in material quality control applications</title><link>https://tak-wong.github.io/publications/2019-stock-advanced/</link><pubDate>Fri, 01 Mar 2019 00:00:00 +0000</pubDate><guid>https://tak-wong.github.io/publications/2019-stock-advanced/</guid><description>&lt;!-- Add the paper text or supplementary notes. Markdown, math, and code are supported. --&gt;
&lt;h2 id="how-to-cite"&gt;How to cite&lt;/h2&gt;
&lt;p&gt;Stock, Daniel, Matthias Kahl, Anna K. Wigger, Tak Ming Wong, Andreas Kolb, and Peter Haring Bolívar. &amp;ldquo;Advanced signal processing techniques for THz imaging and sensing enhancement in material quality control applications.&amp;rdquo; In Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XII, vol. 10917, pp. 127-133. SPIE, 2019.&lt;/p&gt;
&lt;h2 id="bibtex"&gt;Bibtex&lt;/h2&gt;
&lt;pre&gt;&lt;code&gt;@inproceedings{stock2019advanced,
title={Advanced signal processing techniques for THz imaging and sensing enhancement in material quality control applications},
author={Stock, Daniel and Kahl, Matthias and Wigger, Anna K and Wong, Tak Ming and Kolb, Andreas and Bol{\'\i}var, Peter Haring},
booktitle={Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XII},
volume={10917},
pages={127--133},
year={2019},
organization={SPIE}
}
&lt;/code&gt;&lt;/pre&gt;</description></item></channel></rss>