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Hardware Implementation of Digital Algorithms

Module name (EN):
Name of module in study programme. It should be precise and clear.
Hardware Implementation of Digital Algorithms
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Computer Science and Communication Systems, Master, ASPO 01.04.2016
Module code: KI780
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4V (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
Semester: 1
Mandatory course: no
Language of instruction:
Written exam

[updated 02.07.2007]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

KI780 Computer Science and Communication Systems, Master, ASPO 01.04.2016 , semester 1, optional course
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 120 hours (equivalent to 4 ECTS credits).
There are therefore 75 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Martin Buchholz
Prof. Dr. Martin Buchholz

[updated 01.04.2003]
Learning outcomes:
This course of lectures introduces students to the fundamentals of digital signal processing. Digital systems in the time and frequency domains will be discussed. The z and df transforms provide the basis for understanding and implementing signal processing algorithms.

[updated 02.07.2007]
Module content:
1. CTI systems in the time domain
2. Describing LTI signals and systems in the frequency domain
3. The z-transform
4. Digital filters
5. The discrete Fourier transform (DFT)
6. Signal processing algorithms

[updated 02.07.2007]
Recommended or required reading:
LECHNER W., LOHL N., Analyse digitaler Signale, Vieweg
JOHNSON J.R., Digitale Signalverarbeitung, Hanser
ZANDER H., Datenwandler, Vogel, 1990
BRIGHAM E.O., FastFourierTransformation (FFT), Oldenburg, 1992

[updated 02.07.2007]
Module offered in:
WS 2004/05
[Sat Jul 13 00:06:29 CEST 2024, CKEY=implhw, BKEY=kim, CID=KI780, LANGUAGE=en, DATE=13.07.2024]