<html><body><div style="font-family: arial,helvetica,sans-serif; font-size: 12pt; color: #000000"><div>*************************************************************************</div><div>Course on Spectral Analysis of Experimental Data</div><div></div><div><div style="caret-color: #000000; color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration: none;" data-mce-style="caret-color: #000000; color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration: none;">*************************************************************************</div><div style="caret-color: #000000; color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration: none;" data-mce-style="caret-color: #000000; color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration: none;"><br data-mce-bogus="1"></div><div style="caret-color: #000000; color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration: none;" data-mce-style="caret-color: #000000; color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration: none;">When: May 23, 10am-5pm, d<span style="caret-color: #000000; color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration: none; display: inline !important; float: none;" data-mce-style="caret-color: #000000; color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration: none; display: inline !important; float: none;">eadline for the application is May 1st.</span><div style="clear: both;" data-mce-style="clear: both;">Where: <span data-mce-style="caret-color: #000000; color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration: none; display: inline !important; float: none;" style="float: none; display: inline !important;">Centre for Organismal Studies, Heidelberg</span><br></div></div><div style="caret-color: #000000; color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration: none;" data-mce-style="caret-color: #000000; color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration: none;"><br data-mce-bogus="1"></div></div><div><p>The spectral analysis of experimental time series—for example, those obtained <br>from biological systems—requires a fundamental understanding of basic principles. <br>This course aims to minimize the use of mathematical formalism and instead <br>explain the core concepts through numerous examples. Naturally, questions are <br>warmly welcome.</p><p>The course is intended for young researchers, including Master’s and PhD students, <br>as well as Postdocs and established scientists who wish to fill potential gaps in their <br>understanding. Topics to be discussed include:</p><ul><li>Sampling Theory</li><li>Fourier Analysis</li><li>Spectral Filters</li><li>Time-Frequency Analysis (wavelets, Short-Time Fourier Transform)</li><li>The concept of analytical signals (e.g. Hilbert Transform)</li><li>Synchronisation (coherence, phase synchronisation)</li><li>Statistical inference of spectral power</li></ul><p>Prerequisites: The participant should already have worked with experimental data and <br>should have a basic knowledge of applied mathematics.</p><p>Lecturer: Axel Hutt, INRIA<br>Registration: please find the application form <a href="https://forms.gle/N8LmmCoALLuKgsfg6" data-mce-href="https://forms.gle/N8LmmCoALLuKgsfg6">HERE</a>. The workshop is free of charge.</p><br></div><div><br data-mce-bogus="1"></div></div></body></html>