Postgraduate Course: Postgraduate Musical Applications of Fourier Theory and Digital Signal Processing (MUSI11034)
Course Outline
| School |
School of Arts, Culture and Environment |
College |
College of Humanities and Social Science |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
20 |
| Home subject area |
Music |
Other subject area |
None |
| Course website |
None
|
Taught in Gaelic? |
No |
| Course description |
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. |
Entry Requirements
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
None
|
| Additional Costs |
None |
Information for Visiting Students
| Pre-requisites |
None |
| Displayed in Visiting Students Prospectus? |
Yes |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 1, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| King's Buildings | Lecture | | 1-11 | 15:00 - 18:00 | | | | |
| First Class |
Week 2, Monday, 15:00 - 18:00, Zone: King's Buildings. Week 2, Monday, 15:00 - 18:00, Zone: King's Buildings. Week 2 - JCMB Room 3211, Week 3 onwards JCMB Lecture Theatre B |
| Additional information |
Taught in JCMB 4310 every week. |
| No Exam Information |
Summary of Intended Learning Outcomes
An technical understanding of Fourier anaylsis, especially as applied to discrete time audio signals
An understanding of the functioning of various audio effects, including chorus, flanging, and phasors.
An understanding of the short time Fourier transformation, and phase vocoder based time stretching and pitch shifting algorithms, at the algebraic and programming levels.
An understanding of simple digital filter structures as used in audio applications.
An understanding of discrete inner product spaces, and the concept of signal orthogonality.
An understanding of the underpinnings and implications of the audio sampling theorem.
Facility in the Matlab programming language
|
Assessment Information
Five problem sets (written work)
Three Matlab programming assignments
|
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords |
Not entered |
Contacts
| Course organiser |
Dr Stefan Bilbao
Tel: (0131 6)51 7043
Email: s.bilbao@ed.ac.uk |
Course secretary |
Ms Karen Bradley
Tel: (0131 6)50 2280
Email: kbradle1@exseed.ed.ac.uk |
|
copyright 2011 The University of Edinburgh -
13 January 2011 6:24 am
|
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