20 credits at level HE5
This module introduces the student to sound signal analysis and the use of software applications used to capture, visualize and analyse signals.
Signals and Systems:
The dual nature of signals and systems; basic properties of signals and systems (stability, linearity); the order of systems (1st and 2nd order); system performance in the time domain.
Types of signals:
Step, impulse, sinusoidal; terminology and units (frequency, amplitude, wavelength, period, power); the visualisation of signals (graph plotting using spreadsheets).
Analysis of signals:
Frequency spectrum; Harmonic series; Law of Superposition; Overview of Fourier synthesis; Interference.
The generation, capture and analysis of signals using software applications:
Use of software to capture/generate, visualise and analyse waveforms (MS Excel, Flash, Matlab, Audacity, Cubase). Applications to various signal sources both natural and man-made.
Generating sound signals:
Musical instruments and the resonance phenomenon.
The Fourier concept.
Filtering and frequency domain characteristics; Convolution; The transfer function.
Digital synthesis; Sampling and quantization.
Seminar-style lectures will be the main teaching forum to present information and to develop relevant theory. All lecture notes will be issued via the WebCT platform to allow students to read the material prior to the lecture sessions.
Tutorials will be used to help students learn the principles presented in the lecture sessions. Online tutorial sheets will be issued in advance to enable students to prepare for the informal discussions.
Coursework (50%): will be investigative and design orientated. Tasks will involve searching the Web for current developments and for state of the art equipment and their specifications.
Unseen Examination (50%):will be used to test the students' knowledge and understanding of the theory and principles. This will be a qualitative and quantative assessment.
Formal lectures (20)
In-class course work (20)
Unsupervised practicals (30)
Directed reading (25)
Directed research (30)
Assignment preparation and implementation (60)
Total 200 hours.
when you have successfully completed this module you will:
to demonstrate that you have achieved the learning outcome you will:
|1.||understand the basic mathematics required for the study of signals and have an awareness of more complex mathematical concepts used to simplify the mathematics used in the study of complex signals.||
be able to use a calculator to:
i. convert angles in degrees to radians and vice-versa.
ii. calculate the sine and cosine of angles that are given in degrees or radians.
iii. calculate power levels in decibels.
and be able to:
i. describe the concepts of the s and z-domains used to simplify the mathematics associated with signal analysis in the time domain.
|2.||understand what the time domain representation of a signal is.||
be able to:
i. draw on graph paper the time domain representations of step, impulse and sinusoidal signals.
ii. sketch envelopes of the overall 'shape' of the volume of a sound plotted against time. The sketches will show the following segments: attack, decay, sustain, release.
|3.||understand the basic properties of signal waveforms and the units used to measure them.||be able to use a spreadsheet application to draw waveforms from inputted sample data and on these waveforms identify the following with their associated units: frequency, amplitude, wavelength, period, phase.|
|4.||be able to capture or generate signals using a personal computer and additional hardware cards and software.||be able to use simple applications such as MS Excel to visualise waveforms from inputted data samples and to use more complex packages such as Matlab, Cubase and Audacity to capture or generate sound signals and then to visualise them.|
|5.||understand what the frequency domain representation of a signal is.||be able to explain, with the use of signal analysis software such as Matlab, how signals can be described in the time domain to show how they change in time or in the frequency domain to show the frequency components that make up the signal.|
|6.||understand sound concepts and such as: fundamental frequency and harmonics, resonance and interference.||
be able to use software packages such as Matlab to demonstrate how complex waveforms can be created from the addition of the fundamental frequency and odd and even harmonics.
You will be able to use a calculator or spreadsheet to compute the parameter Q.
|7.||understand the use of filters and amplifiers for modifying audio signals in analogue synthesizers:||be able to explain how filters are used to change the harmonic content or timbre of sound, and how amplification is used to change the volume or 'shape' of the sound. You will be able to draw the response curves for the following types of filter: low-pass, band-pass, high-pass and notch-pass and simulate their behaviour using Matlab.|
|8.||understand various methods of digital sound generation.||
Compare and contrast the various ways of generating sound within a digital sound system:
i. Synthesis by oscillator
ii. Synthesis by complex modelling
Your achievement of the learning outcomes for this module will be tested as follows:
|Description||A knowledge-based task.||A design-based task.||An unseen written examination of 2 hours duration.|
There are no prerequisites for this module.
No restrictions apply.
Russ M. Sound Synthesis and Sampling ( Focal Press 2004).
Howard D.M., Angus J.A.S. Acoustics and Psychoacoustics ' (Focal Press 2004).
Ballou G. Handbook for Sound Engineers (Focal Press, 2005).
Kirk R., Hunt A. Digital Sound Processing for Music and Multimedia (Focal Press 1999).
Meddins B. 'Introduction to Digital Signal Processing (Newnes 2000).
|Host Subject Group:||Computing & Electronic Technology|
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