Students are to understand signal processing issues in the big data domain and they will learn and apply specific signal processing methods in this field.

Apart from the technical knowledge in big data, students will learn concepts of how to acquire knowledge in a novel and highly theoretical field of research which will help them, e.g., to prepare for research within a PhD programme.

Students will

• start on a topic with some introductory references
• find more advanced literature and identify key papers
• understand principles, methods and potential applications
• give presentations (25mins + 5mins discussion); talks & slides in English
• possibly do some Matlab/C-Programming if required for the topic

A list with topics is here:

https://www.nt.tuwien.ac.at/wp-content/uploads/2017/04/389186_info.pdf

Short discussion of topics on 6 April 2017, 14:00, in room CG0118.

Deadline: 16 April 2017 (email to norbert.goertz@nt.tuwien.ac.at) for a ranked list of
three preferred topics.

Dates for seminar presentations: 1 June 2017, from 14:00

(also 8 June, 14:00, if more than 5 students wish to do the seminar)

Other presentation dates possible, by mutual agreement (email norbert.goertz@nt.tuwien.ac.at)

Beachten Sie beim Verfassen der Ausarbeitung bitte die Richtlinie der TU Wien zum Umgang mit Plagiaten: https://www.tuwien.ac.at/fileadmin/t/ukanzlei/Lehre_-_Leitfaden_zum_Umgang_mit_Plagiaten.pdfBeachten Sie beim Verfassen der Ausarbeitung bitte die Richtlinie der TU Wien zum Umgang mit Plagiaten: Leitfaden zum Umgang mit Plagiaten (PDF)

seminar presentation (presentation slides are a deliverable and, if applicabe, matlab code and processed data for verification of results).

Es wird kein Skriptum zur Lehrveranstaltung angeboten.

Discrete-time signal processing