Technische Universität Ilmenau

Digital Signal Processing 1 - Modultafeln of TU Ilmenau

The Modultafeln have a pure informational character. The legally binding information can be found in the corresponding Studienplan and Modulhandbuch, which are served on the pages of the course offers. Please also pay attention to this legal advice (german only). Information on place and time of the actual lectures is served in the Vorlesungsverzeichnis.

module properties 100253 - common information
module number100253
departmentDepartment of Electrical Engineering and Information Technology
ID of group 2112 (Electronic Measurement Engineering Group)
module leaderProf. Dr. Giovanni Del Galdo
requirements
learning outcome

Die Studierenden sollen die grundlegenden Methoden und Algorithmen der digitalen Signalverarbeitung kennenlernen. Schwerpunkte: Signalabtastung/-rekonstruktion; analoge und diskrete Transformationen (LT, DFT, DTFT, ZT, CWT, DWT, STFT); multirate Signale (Interpolation inkl. Splines, Decimation); digitale Filter; Schätzung der PSD.

Details in major Bachelor Elektrotechnik und Informationstechnik 2013
module nameDigital Signal Processing 1
credit points5
Obligationobligatory
certificate of the module Individual achievements or exams
details of the certificate
Details in major Bachelor Ingenieurinformatik 2013
module nameDigital Signal Processing 1
credit points5
Obligationobligatory elective
certificate of the module Individual achievements or exams
details of the certificate
subject properties subject number 100253 - common information
subject number100253
departmentDepartment of Electrical Engineering and Information Technology
ID of group2112 (Electronic Measurement Engineering Group)
subject leaderProf. Dr. Giovanni Del Galdo
languagedeutsch
term Wintersemester
previous knowledge and experience

Höhere Mathematik; Signale und Systeme 1

learning outcome

Die Studierenden sollen die grundlegenden Methoden und Algorithmen der digitalen Signalverarbeitung kennenlernen. Schwerpunkte: Signalabtastung/-rekonstruktion; analoge und diskrete Transformationen (LT, DFT, DTFT, ZT, CWT, DWT, STFT); multirate Signale (Interpolation inkl. Splines, Decimation); digitale Filter; Schätzung der PSD.

content

siehe Lernergebnisse / erworbene Kompetenzen

media of instruction

Präsenzstudium (Vorlesung und Seminar mit Tafelanschrieb), zahlreiche Matlab-Skripte zur Selbststudienunterstützung

literature / references

Proakis, Manolakis, “Digital Signal Processing 4th Edition”, TBS, 2006

evaluation of teaching

Pflichtevaluation:

WS 2013/14 (Fach)

Freiwillige Evaluation:

Hospitation:

WS 2013/14 

Details in major Master Optronik 2010, Bachelor Ingenieurinformatik 2013, Master Wirtschaftsingenieurwesen 2013 (ET), Master Wirtschaftsingenieurwesen 2014 (ET), Master Optische Systemtechnik/Optronik 2014, Master Wirtschaftsingenieurwesen 2015 (ET), Master Optische Systemtechnik/Optronik 2017, Master Wirtschaftsingenieurwesen 2018 (ET)
subject nameDigital Signal Processing 1
examination number2100402
credit points5
on-campus program (h)45
self-study (h)105
Obligationobligatory elective
examwritten examination performance, 120 minutes
details of the certificate
Signup details for alternative examinations

Pflichtevaluation:


WS 2013/14 (Fach)


Freiwillige Evaluation:


Hospitation:


WS 2013/14 

maximum number of participants
Details in major Master Optronik 2008, Bachelor Elektrotechnik und Informationstechnik 2013
subject nameDigital Signal Processing 1
examination number2100402
credit points5
on-campus program (h)45
self-study (h)105
Obligationobligatory
examwritten examination performance, 120 minutes
details of the certificate
Signup details for alternative examinations

Pflichtevaluation:


WS 2013/14 (Fach)


Freiwillige Evaluation:


Hospitation:


WS 2013/14 

maximum number of participants