Postgraduate Course: Postgraduate Musical Applications of Fourier Theory and Digital Signal Processing (MUSI11034)
Course Outline
| School | Edinburgh College of Art |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | This course aims to describe the mathematical underpinnings of Fourier theory, and digital signal processing, especially with regard to music and audio applications. The emphasis is on algebraic work, and on practical computation for sound analysis and synthesis. |
| Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2017/18, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Please contact the School directly for a breakdown of Learning and Teaching Activities |
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Five problem sets (written work)
Three Matlab programming assignments
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| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Demonstrate a technical understanding of Fourier anaylsis, especially as applied to discrete time audio signals, as well as an understanding of the functioning of various audio effects, including chorus, flanging, and phasors.
- Evidence an understanding of the short time Fourier transformation, and phase vocoder based time stretching and pitch shifting algorithms, at the algebraic and programming levels.
- Demonstrate an understanding of simple digital filter structures as used in audio applications and an understanding of discrete inner product spaces, and the concept of signal orthogonality.
- Evidence an understanding of the underpinnings and implications of the audio sampling theorem and have gained facility in the Matlab programming language.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Stefan Bilbao
Tel: (0131 6)51 7043
Email: |
Course secretary | Mrs Lyndsay Hagon
Tel: (0131 6)51 5735
Email: |
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