Undergraduate Course: Musical Applications of Fourier Theory and Digital Signal Processing (MUSI10055)
|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
|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.
Information for Visiting Students
|Pre-requisites||Visiting students should have at least three Mathematics courses. We will only consider University/College level courses.
Course Delivery Information
|Academic year 2014/15, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Seminar/Tutorial Hours 33,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Project 1: 50% (5 problem sets @ 10% each)
Project 2: 50% (2 programming assignments @ 25% each)
|No Exam Information
| (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.
|Graduate Attributes and Skills
|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
|Course organiser||Mr Michael Newton
|Course secretary||Miss Annabelle Evans
Tel: (0131 6)50 2422
© Copyright 2014 The University of Edinburgh - 12 January 2015 4:25 am