Introduction to Digital Signal Processing
Module IN2061
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 WS 2011/2
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 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
| 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 and singular or moved dates |
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
- 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