<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Annamalai</title><link>https://ramathuzen.github.io/</link><description>Recent content on Annamalai</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 10 Nov 2026 11:00:00 +0530</lastBuildDate><atom:link href="https://ramathuzen.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>Emacs Literate Calc Mode</title><link>https://ramathuzen.github.io/tils/2026-11-10-literate-calc-emacs/</link><pubDate>Tue, 10 Nov 2026 11:00:00 +0530</pubDate><guid>https://ramathuzen.github.io/tils/2026-11-10-literate-calc-emacs/</guid><description>&lt;p&gt;I just got to know that &lt;a href="https://randyridenour.net/posts/2026-11-01-emacs-literate-calc-mode.html"&gt;literate-calc-mode&lt;/a&gt; exists, while browsing this week&amp;rsquo;s &lt;a href="https://sachachua.com/blog/2026/11/2026-11-09-emacs-news/"&gt;Sacha&amp;rsquo;s Blog&lt;/a&gt;. You can use it within org files itself! No need to remember calc shortcuts!.&lt;/p&gt;</description></item><item><title>Updating Git Submodules Recursively</title><link>https://ramathuzen.github.io/tils/2026-11-10-git-submodule/</link><pubDate>Tue, 10 Nov 2026 11:00:00 +0530</pubDate><guid>https://ramathuzen.github.io/tils/2026-11-10-git-submodule/</guid><description>&lt;p&gt;To pull and update all nested submodules in one command:&lt;/p&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;-webkit-text-size-adjust:none;"&gt;&lt;code class="language-bash" data-lang="bash"&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;git submodule update --init --recursive --remote
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>State Estimation with Kalman Filters</title><link>https://ramathuzen.github.io/blogs/kalman-filter-basics/</link><pubDate>Tue, 10 Nov 2026 10:00:00 +0530</pubDate><guid>https://ramathuzen.github.io/blogs/kalman-filter-basics/</guid><description>&lt;p&gt;A quick look at the discrete state-space update step.&lt;/p&gt;
&lt;p&gt;The linear measurement update equation is given by:&lt;/p&gt;
$$x_k = A x_{k-1} + B u_k + w_k$$&lt;p&gt;Where the Kalman Gain $K_k$ scales the innovation:&lt;/p&gt;
$$K_k = P_k^- H^T (H P_k^- H^T + R)^{-1}$$&lt;p&gt;Inline math check: the error covariance shrinks when $R \to 0$.&lt;/p&gt;</description></item></channel></rss>