AUDIO SIGNAL ANALYSIS - 2019/0

Module code: TON1023

Module provider

Music and Media

Module Leader

DE SENA E Dr (Music & Med)

Number of Credits

15

ECTS Credits

7.5

Framework

FHEQ Level 4

JACs code

J930

Module cap (Maximum number of students)

N/A

Module Availability

Semester 1

Overall student workload

Independent Study Hours: 123

Lecture Hours: 24

Laboratory Hours: 3

Assessment pattern

Assessment type Unit of assessment Weighting
Coursework Coursework 50
Examination Examination (2 hours) 50

Alternative Assessment

N/A

Prerequisites / Co-requisites

None for Tonmeister and FVPT students.

Module overview

This module will introduce you to the analysis of audio signals using a combination of theory and application, and to give you the background needed for a wide range of the technical modules in each year of the Tonmeister programme.

Module aims

To build on previous mathematical knowledge and understanding to provide the relevant mathematical and signal processing background for topics in Acoustics, Electroacoustics, Computer Systems, Sound Synthesis and Audio Engineering.

Learning outcomes

Attributes Developed
001 Recognise different types of signals and perform simple operations on signals. CK
002 Perform simple arithmetic operations on complex numbers; plot complex numbers on an Argand diagram; recognise the Cartesian, polar and exponential forms and convert complex numbers between the different forms; represent simple harmonic signals as complex phasors. CK
003 Perform simple operations on matrices. CK
004 Use the Fourier series and the Fourier transform to represent a signal in both the time domain and the frequency domain. CK
005 Use computer code instructions to perform a specific task. CKT
006 Use Matlab to plot signals and to carry out simple operations on signals. CKT
007 Apply problem-solving skills successfully T

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Module content

Indicative content includes:


Signals.
Complex numbers and phasors.
The Fourier series.
The Fourier transform.
Introduction to Matlab.
Matrices.

Methods of Teaching / Learning

The learning and teaching strategy is designed to: develop your skills and knowledge in mathematics and audio signal analysis, allowing modules in later semesters to build on this.

The learning and teaching methods include:


One two-hour lecture per week
One three-hour laboratory session
Guided reading
Coursework assignments and feedback

Assessment Strategy

The assessment strategy is designed to provide you with the opportunity to demonstrate and develop your knowledge and understanding of audio signal processing.

Thus, the summative assessment for this module consists of:


Coursework – one assignment and one in-class test consisting of mathematical problems and programming tasks (addresses learning outcomes 1–2 and 5–7); and
2hr exam – written paper under exam conditions (addresses learning outcomes 1–4).


Formative assessment

There are no formal formative assessment components for this module, but formative feedback will be given to you in tutorials as required, and in the form of regular revision questions in lectures.

Feedback

You will receive written feedback on your coursework. You will also receive verbal feedback in lectures via revision questions and in-class discussions.

Reading list

Reading list for AUDIO SIGNAL ANALYSIS : http://aspire.surrey.ac.uk/modules/ton1023

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Music and Sound Recording (Tonmeister) BMus (Hons)(CORE) 1 Core Each unit of assessment must be passed at 40% to pass the module
Film and Video Production Technology BSc (Hons)(CORE) 1 Core Each unit of assessment must be passed at 40% to pass the module
Film and Video Production Technology BA (Hons)(CORE) 1 Core Each unit of assessment must be passed at 40% to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2019/0 academic year.