Guest Lecture with Iuliia Yamnenko | 2 IN 1: WAVELET TRANSFORM OF DISCRETE FUNCTIONS. METHOD AND ITS APPLICATIONS

Events |

Wavelets (or small waves) are the methods of signal processing. It allows us to consider signals in frequency and time domains simultaneously …

Date and time:
December 11, 2023, 15:30–16:30

Speaker:
Iuliia Yamnenko is a Professor of the Department of Electronic Devices and Systems at National Technical University of Ukraine. She is a Visiting Professor at the Technical University of Munich (TUM), TUM School of Engineering and Design (ED), Department of Mobility Systems Engineering, Chair of Transportation Systems Engineering (TSE). Her host Professor is Constantinos Antoniou. The field of her research interests includes electronics, electrical engineering, signal processing, Microgrids and Smartgrids, and intelligent traffic control systems.

  • Doctor of technical sciences
  • Full University Professor
  • National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute
  • TUM School of Engineering and Design, Chair of Transportation System Engineering
  • Alumna Fellow of TUM Institute for Advanced Study (May–August 2022)
  • Fellow of Philipp Schwartz Initiative from Alexander von Humboldt Foundation (since September 2023)
  • Host TUM Professor - Prof. Dr. Constantinos Antoniou

Place:
IAS Auditorium, Garching-Forschungszentrum, Lichtenbergstraße 2a, 85748 Garching 

Abstract:
Wavelets (or small waves) are the methods of signal processing. It allows us to consider signals in frequency and time domains simultaneously. Unlike traditional spectral transforms (Fourier and others), wavelets give more information about the original signal. We are going to look at the mathematics behind Wavelets and see how it applies to various fields. Besides the traditional wavelets, we will also look at the new fast and effective methods with various features. The material is oriented and could be interesting for students of all levels (Bachelor, Master, PhD) as well as for academic staff.