Rima Alaifari: Katalogdaten im Herbstsemester 2023 |
| Name | Frau Prof. Dr. Rima Alaifari |
| Lehrgebiet | Angewandte Mathematik |
| Adresse | Seminar für Angewandte Mathematik ETH Zürich, HG G 59.2 Rämistrasse 101 8092 Zürich SWITZERLAND |
| Telefon | +41 44 632 32 00 |
| rima.alaifari@sam.math.ethz.ch | |
| URL | http://www.sam.math.ethz.ch/~rimaa |
| Departement | Mathematik |
| Beziehung | Assistenzprofessorin |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 401-3426-DRL | Time-Frequency Analysis  Only for ZGSM (ETH D-MATH and UZH I-MATH) doctoral students. The latter need to register at myStudies and then send an email to info@zgsm.ch with their name, course number and student ID. Please see https://zgsm.math.uzh.ch/index.php?id=forum0 | 1 KP | 2V | R. Alaifari | |
| Kurzbeschreibung | |||||
| Lernziel | |||||
| 401-3426-21L | Time-Frequency Analysis | 4 KP | 2V | R. Alaifari | |
| Kurzbeschreibung | This course gives a basic introduction to time-frequency analysis from the viewpoint of applied harmonic analysis. | ||||
| Lernziel | By the end of the course students should be familiar with the concept of the short-time Fourier transform, the Bargmann transform, quadratic time-frequency representations (ambiguity function and Wigner distribution), Gabor frames and modulation spaces. The connection and comparison to time-scale representations will also be subject of this course. | ||||
| Inhalt | Time-frequency analysis lies at the heart of many applications in signal processing and aims at capturing time and frequency information simultaneously (as opposed to the classical Fourier transform). This course gives a basic introduction that starts with studying the short-time Fourier transform and the special role of the Gauss window. We will visit quadratic representations and then focus on discrete time-frequency representations, where Gabor frames will be introduced. Later, we aim at a more quantitative analysis of time-frequency information through modulation spaces. At the end, we touch on wavelets (time-scale representation) as a counterpart to the short-time Fourier transform. | ||||
| Literatur | Gröchenig, K. (2001). Foundations of time-frequency analysis. Springer Science & Business Media. | ||||
| Voraussetzungen / Besonderes | Functional analysis, Fourier analysis, complex analysis, operator theory | ||||
| 401-5650-00L | Zurich Colloquium in Applied and Computational Mathematics  | 0 KP | 1K | R. Abgrall, R. Alaifari, H. Ammari, R. Hiptmair, S. Mishra, S. Sauter, C. Schwab | |
| Kurzbeschreibung | Research colloquium | ||||
| Lernziel | |||||