Undergraduate Course: Musical Applications of Fourier Theory and Digital Signal Processing (MUSI10055)
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 10 (Year 3 Undergraduate) |
Credits |
20 |
Home subject area |
Music |
Other subject area |
None |
Course website |
http://www.music.ed.ac.uk |
|
|
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. |
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 |
First class information not currently available |
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)
|
Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
Not entered |
Contacts
Course organiser |
Dr Stefan Bilbao
Tel: (0131 6)51 7043
Email: s.bilbao@ed.ac.uk |
Course secretary |
Miss Lindsay Hunter
Tel: (0131 6)50 2422
Email: Lindsay.Hunter@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:22 am
|