Applied Signal Processing

Course content

• Sampling and reconstruction of continuous-time signals
• Characteristics of discrete-time systems
• Impulse response, difference equation and transfer function
• Discrete-time filter design
• Analysis of discrete-time signals in the time and the frequency domain
• Discrete-time stochastic processes

Theoretical relationships are illustrated in practical laboratory exercises.

Learning outcomes

Graduates

• know the most important discrete-time and continuous-time signals and their connection through sampling and reconstruction,
• are familiar with the main characteristics of discrete-time systems and can derive them from the impulse response, the pole-zero plot or the transfer function,
• are able to design simple discrete-time filters for correcting continuous-time systems and can analyse sampled continuous-time and discrete-time signals in the time and frequency domain,
• understand stochastic processes and
• can describe them using autocorrelation, cross-correlation and their Fourier transforms.

Recommended or required reading and other learning resources / tools

Books:

• Oppenheim, Schafer: Discrete-Time Signal Processing
• Girod, Rabenstein, Stenger: Einführung in die Systemtheorie: Signale und Systeme in der Elektrotechnik und Informationstechnik
• Richard G. Lyons: Understanding Digital Signal Processing

 

Mode of delivery

Integrated course, exercises 50%

Prerequisites and co-requisites

• Fundamentals of Science 2
• Applied Electrical Engineering 2
• Analog Signal Processing
• Applied Computer Science 2
• Embedded Systems
• Communication Technology

Assessment methods and criteria

Continuous assessment