# AUDIO SIGNAL ANALYSIS - 2018/9

Module code: TON1023

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 provider

Music and Media

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

Prerequisites / Co-requisites

None for Tonmeister and FVPT students.

Module content

Indicative content includes:

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

Assessment pattern

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

Alternative Assessment

N/A

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.

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

Independent Study Hours: 123

Lecture Hours: 24

Laboratory Hours: 3

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
Coursework assignments and feedback

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.