ACS321 Digital Signal Processing
This module aims to introduce students to digital processing techniques, including sampling and analysis of digital signals, design of digital filers, and the introduction of digital image processing. Discrete signals and systems are studied, with an emphasis on the frequency-domain theory necessary for the analysis of discrete signals and design of digital filters. The concepts associated with digital images and some basic digital image processing operations are also covered.
Credits: 10 (Spring semester)
If you have any questions about the module please talk to me during the lectures or the labs in the first instance. It is likely that other students will learn from any questions you ask as well, so don’t be afraid to ask.
Outside of lectures please contact me via email, or drop in to see me.
By the end of the module students will be able to:
Explain and apply the key ideas of sampling continuous-time signals. [SM1p, SM2p]
This module satisfies the AHEP3 (Accreditation of Higher Education Programmes, Third Edition) Learning Outcomes that are listed in brackets after each learning outcome above. For further details on AHEP3 Learning Outcomes, see the downloads section of our accreditation webpage.
Learning and Teaching Methods
Lectures: 20 hours
Learning and Teaching Materials
All teaching materials will be available via MOLE.
2 hour examination 85%
No resit examination is available for this module.
Students will receive feedback via the in-class exercises and lab sessions / coursework.
Students are encouraged to provide feedback during the module direct to the lecturer. Students will also have the opportunity to provide formal feedback via the Faculty of Engineering Student Evaluation Survey at the end of the module.