Introduction to Digital Signal Processing

Module IN2061

This Module is offered by TUM Department of Informatics.

This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.

Module version of SS 2022 (current)

There are historic module descriptions of this module. A module description is valid until replaced by a newer one.

Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.

available module versions
SS 2022	SS 2015	WS 2011/2

Basic Information

IN2061 is a semester module in German or English language at Bachelor’s level and Master’s level which is offered in summer semester.

This Module is included in the following catalogues within the study programs in physics.

Catalogue of non-physics elective courses

Total workload	Contact hours	Credits (ECTS)
210 h	90 h	7 CP

Content, Learning Outcome and Preconditions

Content

Signals and systems in time and frequency domain, examples, discretization, filter and frequency transforms, compression, realization (signal processors), outlook to digital image processing

Learning Outcome

At the end of this module students are able to evaluate theoretical concepts and underlying algorithms of modern digital signal processing systems. In the exercise course, the students learn to apply these concepts to a concrete problem and to decide on a proper implementation.

Preconditions

None

Courses, Learning and Teaching Methods and Literature

Courses and Schedule

SS 2023 SS 2022 SS 2021 SS 2020 SS 2019 SS 2018 SS 2017 SS 2015 SS 2014 SS 2013

Type	SWS	Title	Lecturer(s)	Dates	Links
VI	6	Introduction to digital signal processing (IN2061)	Dietrich, R. Karimi, N. Knoll, A. Lenz, A.	Tue, 12:00–14:00, MI HS2 Wed, 14:00–15:30, BC1 BC1 2.02.11 Thu, 14:00–15:30, BC1 BC1 2.02.11	eLearning

Learning and Teaching Methods

The module consists of a lecture, an exercise and tasks for self-study. The contents of the lecture are conveyed in the lecture and through presentations. Students are encouraged to deal with the content of the topics through small tasks set in the course of the lectures, as well as by solving exercise sheets. The solution to the exercises is discussed in the exercise.

Media

Slides, exercise sheets

Literature

- Janus A. Cadzow, Foundations of Digital Signal Processing and Data Analysis, Macmillan, 1987
- Johnny R. Johnson, Introduction to Digital Processing, Prentice Hall, 1989
- Rolf Unbehauen, Systemtheorie, Oldenburg, 1989
- Oppenheimer/Willsky, Signals and Systems, Prentice Hall, 1983
- A. van den Enden/N. Verhoeckx, Discrete-Time Signal Processing - An Introduction, Prentice Hall, 1989
- R. Best, Digitale Signalverarbeitung und -simulation, AT-Verlag, 1989
- John G. Proakis, Dimitris G. Manolakis, Digital Signal Processing - Principles, Algorithms and Applications, Prentice Hall, 1996
- Oppenheimer/Schafer, Discrete-Time Signal Processing, Prentice Hall, 1989
- Tamal Bose, Digital Signal and Image Processing, Wiley, 2004

Module Exam

Description of exams and course work

The examination is carried out in the form of a 105-minute written exam. This is intended to demonstrate that modern methods of signal processing are mastered and suitable algorithms can be selected for a specific problem.

Exam Repetition

The exam may be repeated at the end of the semester.