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 |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
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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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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Course Delivery Information
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| Academic year 2014/15, Available to all students (SV1)
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Quota: 27 |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Seminar/Tutorial Hours 33,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
163 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Project 1: 50% (5 problem sets @ 10% each)
Project 2: 50% (2 programming assignments @ 25% each)
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| Feedback |
Not entered |
| No Exam Information |
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.
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Additional Information
| Course URL |
http://www.music.ed.ac.uk |
| Graduate Attributes and Skills |
Not entered |
| Additional Class Delivery Information |
2 hour lecture per week and 1 hour tutorial per week. |
| Keywords | MAF music technology fourier theory digital signal processing acoustics |
Contacts
| Course organiser | Mr Michael Newton
Tel:
Email: Michael.Newton@ed.ac.uk |
Course secretary | Miss Annabelle Evans
Tel: (0131 6)50 2422
Email: Annabelle.Evans@ed.ac.uk |
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