Undergraduate Course: Musical Applications of Fourier Theory and Digital Signal Processing (MUSI10055)
Course Outline
| School | Edinburgh College of Art |
College | College of Humanities and Social Science |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Credits | 20 |
| Home subject area | Music |
Other subject area | None |
| Course website |
http://www.music.ed.ac.uk |
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. |
Information for Visiting Students
| Pre-requisites | Visiting students should have at least three Mathematics courses. We will only consider University/College level courses.
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| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
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| Delivery period: 2012/13 Semester 1, Available to all students (SV1)
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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 |
First class information not currently available |
| No Exam Information |
Summary of Intended Learning Outcomes
(1) A thorough and detailed technical and mathematical understanding of Fourier Theory with regard to audio signal processing.
(2) The ability to program audio processing code in the Matlab language.
(3) The ability to design and program specialised signal processing operations, such as the phase vocoder, and various audio effects including flangers, chorusers and artificial reverberation.
(4) An understanding of the Fast Fourier Transform and its significance.
(5) An increased facility with various mathematical concepts, including complex number representations, trigonometry, inner product descriptions, orthogonality as well as some linear algebra.
(6) An appreciation and understanding of issues which separate real-time from non-real-time audio signal processing applications.
(7) An understanding of, and the ability to program simple digital filter structures, including low-, high-, all- and band-pass filters. |
Assessment Information
Project 1: 50% (5 problem sets @ 10% each)
Project 2: 50% (2 programming assignments @ 25% each)
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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 | MAF music technology fourier theory digital signal processing acoustics |
Contacts
| Course organiser | Dr Stefan Bilbao
Tel: (0131 6)51 7043
Email: |
Course secretary | Mr Brad Herbert
Tel: (0131 6)50 2422
Email: |
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