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  <title>Drone auralization example</title>
  <dc:creator>Gert Herold</dc:creator>
  <link>https://blog.acoular.org/posts/auralization/drone-auralization-example.html</link>
  <description><![CDATA[ In addition to its capabilities to detect and analyze sources with implementations of various array methods, Acoular has several tools for synthesizing signals and simulating measurements. This can be helpful when designing an experiment and pre-testing measurement setups and algorithms without having to actually set up the hardware. ]]></description>
  <category>drone noise</category>
  <category>moving sources</category>
  <category>simulation</category>
  <category>audio export</category>
  <guid>https://blog.acoular.org/posts/auralization/drone-auralization-example.html</guid>
  <pubDate>Sat, 21 Sep 2024 00:00:00 GMT</pubDate>
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  <title>How to import your data into Acoular</title>
  <dc:creator>Ennes Sarradj</dc:creator>
  <link>https://blog.acoular.org/posts/convert-input-data/convert-input-data.html</link>
  <description><![CDATA[ Acoular is a Python library that processes multichannel data (up to a few hundred channels) from acoustic measurements with a microphone array which is stored in an HDF5 file. This blog post explains how to convert data available in other formats into this file format. As examples for other file formats we will use both .csv (comma separated text files) and .mat (Matlab files). <!--more--> ]]></description>
  <category>data import</category>
  <category>csv</category>
  <category>Matlab</category>
  <guid>https://blog.acoular.org/posts/convert-input-data/convert-input-data.html</guid>
  <pubDate>Fri, 24 Jun 2022 00:00:00 GMT</pubDate>
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  <title>Getting started with Acoular - Part 3</title>
  <dc:creator>Ennes Sarradj</dc:creator>
  <link>https://blog.acoular.org/posts/getstart/getstart3.html</link>
  <description><![CDATA[ This is the third and final in a series of three blog posts about the basic use of Acoular. It assumes that you already have read the first two posts and continues by explaining additional concepts to be used with time domain methods. ]]></description>
  <category>getting started</category>
  <category>time domain</category>
  <guid>https://blog.acoular.org/posts/getstart/getstart3.html</guid>
  <pubDate>Sat, 03 Apr 2021 00:00:00 GMT</pubDate>
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  <title>Getting started with Acoular - Part 2</title>
  <dc:creator>Ennes Sarradj</dc:creator>
  <link>https://blog.acoular.org/posts/getstart/getstart2.html</link>
  <description><![CDATA[ This is the second in a series of three blog posts about the basic use of Acoular. It assumes that you already have read the first post and continues by explaining some more concepts and additional methods. ]]></description>
  <category>getting started</category>
  <category>frequency domain</category>
  <category>deconvolution</category>
  <category>CLEAN SC</category>
  <category>functional beamforming</category>
  <guid>https://blog.acoular.org/posts/getstart/getstart2.html</guid>
  <pubDate>Fri, 02 Apr 2021 00:00:00 GMT</pubDate>
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  <title>Getting started with Acoular - Part 1</title>
  <dc:creator>Ennes Sarradj</dc:creator>
  <link>https://blog.acoular.org/posts/getstart/getstart1.html</link>
  <description><![CDATA[ This is the first in a series of three blog posts about the basic use of Acoular. It explains some fundamental concepts and walks through a simple example. ]]></description>
  <category>getting started</category>
  <category>frequency domain</category>
  <guid>https://blog.acoular.org/posts/getstart/getstart1.html</guid>
  <pubDate>Thu, 01 Apr 2021 00:00:00 GMT</pubDate>
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