Anna-Lena Steen

M.Sc.
Research Assistant

Contact

Anna-Lena Steen, M. Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
nach Vereinbarung
Harburger Schloßstraße 36,
21079 Hamburg
Building HS36, Room C2 1.005
Phone: +49 40 42878 4091
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Research Project

KoLa
Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

KoLa

Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2026

Publications

TUHH Open Research (TORE)

2024

2023

2022

Courses

Stud.IP
link to course in Stud.IP Studip_icon
Digital Signal Processing and Digital Filters (Digitale Signalverarbeitung und digitale Filter) (M.Sc.)
Subtitle:
This course is part of the module: Digital Signal Processing and Digital Filters
Semester:
WiSe 23/24
Course type:
Lecture
Course number:
lv446_w23
Lecturer:
Gerhard Bauch, M. Sc Semir Cömertpay, PD Dr.-Ing. habil. Rainer Grünheid
Description:
  • Transforms of discrete-time signals:

    • Discrete-time Fourier Transform (DTFT)

    • Discrete Fourier-Transform (DFT), Fast Fourier Transform (FFT)

    • Z-Transform

  • Correspondence of continuous-time and discrete-time signals, sampling, sampling theorem

  • Fast convolution, Overlap-Add-Method, Overlap-Save-Method

  • Fundamental structures and basic types of digital filters

  • Characterization of digital filters using pole-zero plots, important properties of digital filters

  • Quantization effects

  • Design of linear-phase filters

  • Fundamentals of stochastic signal processing and adaptive filters

    • MMSE criterion

    • Wiener Filter

    • LMS- and RLS-algorithm

  • Traditional and parametric methods of spectrum estimation

Performance accreditation:
620 - Digital Signal Processing and Digital Filters<ul><li>620 - Digital Signal Processing and Digital Filters: Klausur schriftlich</li></ul>
ECTS credit points:
6
Stud.IP informationen about this course:
Home institute: Institut für Nachrichtentechnik (E-8)
Registered participants in Stud.IP: 85
Postings: 3
Documents: 12

Supervised Theses

ongoing
completed