<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Javad Rajabzadeh | Senior Software Engineer</title><link>http://javad.dev/</link><description>Recent content on Javad Rajabzadeh | Senior Software Engineer</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 19 Jul 2026 22:30:00 +0330</lastBuildDate><atom:link href="http://javad.dev/index.xml" rel="self" type="application/rss+xml"/><item><title>Optimally-Modified Log-Spectral Amplitude (OM-LSA): Post-Filtering for Speech Intelligibility</title><link>http://javad.dev/posts/omlsa-speech-enhancement-postfiltering/</link><pubDate>Sun, 19 Jul 2026 22:30:00 +0330</pubDate><guid>http://javad.dev/posts/omlsa-speech-enhancement-postfiltering/</guid><description>&lt;p&gt;In digital signal processing and speech enhancement, spatial filtering techniques (such as Multi-channel Wiener Filtering or beamforming) effectively attenuate directional noise sources. However, residual non-stationary noise, diffuse background acoustic clutter, and reverberation often linger in the processed audio.&lt;/p&gt;
&lt;p&gt;Applying traditional spectral subtraction or hard noise gate suppression to clean this residual noise causes severe &lt;strong&gt;musical noise artifacts&lt;/strong&gt;—random, isolated spectral peaks that destroy human speech intelligibility and sound unnaturally harsh.&lt;/p&gt;
&lt;p&gt;In this post, I explore the mathematical formulation and practical implementation of &lt;strong&gt;Optimally-Modified Log-Spectral Amplitude (OM-LSA)&lt;/strong&gt; speech enhancement—a single-channel post-filtering technique designed by Israel Cohen and Baruch Berdugo that minimizes log-spectral amplitude estimation errors while preserving natural speech quality.&lt;/p&gt;</description></item><item><title>Real-Time Multichannel Speech Enhancement: Inverse-Free Rank-N Matrix Updating on Edge Hardware</title><link>http://javad.dev/posts/rankn-multichannel-wiener-filter/</link><pubDate>Sun, 19 Jul 2026 22:00:00 +0330</pubDate><guid>http://javad.dev/posts/rankn-multichannel-wiener-filter/</guid><description>&lt;p&gt;In real-world acoustic engineering—especially on &lt;strong&gt;drones, autonomous robotic platforms, and ultra-low-power edge processors&lt;/strong&gt;—enhancing speech signals in real time presents a severe computational bottleneck. Microphones mounted on moving drones or robotic units encounter heavy spatial interference, rotor harmonics, and turbulent wind noise.&lt;/p&gt;
&lt;p&gt;While classical Multi-channel Wiener Filters (MWF) offer optimal spatial noise reduction, computing full spatial matrix inversions $\mathbf{R}_{nn}^{-1}(f)$ across hundreds of STFT frequency bins imposes an $\mathcal{O}(M^3)$ computational load that degrades battery life and causes latency spikes on embedded microcontrollers (such as STM32, ESP32, or ARM Cortex-M flight controllers).&lt;/p&gt;</description></item><item><title>Javad Rajabzadeh | Resume</title><link>http://javad.dev/resume/</link><pubDate>Sun, 19 Jul 2026 00:00:00 +0000</pubDate><guid>http://javad.dev/resume/</guid><description>&lt;h1 id="javad-rajabzadeh"&gt;Javad Rajabzadeh&lt;/h1&gt;
&lt;p&gt;&lt;strong&gt;Senior Software Engineer &amp;amp; Technical Lead&lt;/strong&gt;&lt;br&gt;
📍 Belgium / Remote | ✉️ &lt;a href="mailto:ja7ad@live.com"&gt;ja7ad@live.com&lt;/a&gt; | 🌐 &lt;a href="https://javad.dev"&gt;https://javad.dev&lt;/a&gt; | 🐙 &lt;a href="https://github.com/ja7ad"&gt;GitHub&lt;/a&gt; | 💼 &lt;a href="https://www.linkedin.com/in/ja7ad/"&gt;LinkedIn&lt;/a&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="executive-summary"&gt;Executive Summary&lt;/h2&gt;
&lt;p&gt;Results-driven &lt;strong&gt;Senior Software Engineer &amp;amp; Technical Lead&lt;/strong&gt; with 9+ years of experience architecting high-performance backend microservices, decentralized blockchain networks (Layer 1, 2 &amp;amp; 3), and real-time AI/ML signal processing pipelines. Track record of leading cross-functional teams, publishing AWS Marketplace solutions, building ROS2 robotics modules, and contributing to core open-source infrastructure (TrustWallet Core, Meilisearch Go SDK).&lt;/p&gt;</description></item></channel></rss>