Digital Signal Processing (5 ECTS)

Objective

Knowledge and understanding:
- The students will know the basic properties of digital signal processing systems. They are able to analyze signal processing systems and to understand the background of filter design software.
Skills:
- The student is able to use basic signal processing tools for analyzing and modifying existing digital signal processing systems.

Content

Core content level:
Basics of Digital Signal Processing: discrete signals and their properties, properties of sampled linear systems, difference equation, convolution, correlation, analysis of linear discrete-time systems: impulse and step responses, transfer function, frequency response,
Discrete Fourier Transform (DFT), z-Transform, pole-zero- diagram. basic audio signal processing

Additional content:
Training material including solved problems are provided.

Qualifications

Basic mathematics and complex numbers

Location and time

9.8.2021 - 20.8.2021 (morning 09:00-13:00)

Exam schedules

Exam of 90 minutes duration held about two weeks after the end of the course.

International connections

Course teacher is Prof. Dr. Manfred Jungke from Frankfurt University of Applied Sciences, Germany.

Evaluation methods and criteria

Exam of 90 minutes duration held about two weeks after the end of the course.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Student understands the fundamentals of digital signal processing

Assessment criteria, good (3)

Student can apply digital signal processing methods on solving simple problems.

Assessment criteria, excellent (5)

Student can apply digital signal processing methods as a part of system development.

Assessment criteria, approved/failed

Student understands the fundamentals of digital signal processing