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Degree Regulations & Programmes of Study 2010/2011
- ARCHIVE as at 1 September 2010 for reference only
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DRPS : Course Catalogue : School of Arts, Culture and Environment : Music

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
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
Prospectus website http://www.ed.ac.uk/studying/visiting-exchange/courses
Course Delivery Information
Delivery period: 2010/11 Semester 1, Available to all students (SV1) WebCT enabled:  No Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
King's BuildingsLecture1-11 15:00 - 18:00
First Class First class information not currently available
Additional information Taught in JCMB 4310 every week.
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
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 Ms Tammy Kelly
Tel: (0131 6)51 4230
Email: Tammy.Kelly@ed.ac.uk
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copyright 2010 The University of Edinburgh - 1 September 2010 6:22 am