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DC Field | Value | Language |
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dc.date.accessioned | 2017-11-06T13:34:08Z | - |
dc.date.available | 2017-11-06T13:34:08Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/23382 | - |
dc.description | B.SC.(HONS)COMPUTER ENG. | en_GB |
dc.description.abstract | This dissertation aims to implement a solution for sound localisation by trading off between cost and result accuracy, by using industry-standard equipment and setup. The solution must provide a real-time result: the code behind the implementation must be light enough to be able to keep up with this requirement. The system consist of four microphones which are pre-amped, and fed through a DAC, where MATLAB analyzes the sound windows captured and performs tests based on the time delay between the signals in microphone pairs known as ITD (Interaural Time Delay) or TDOA (Time Difference On Arrival). This data is interpreted using two different hardware topologies and two different analysis methods. Tests conclude that the system works best when the distance between microphones 1 and 2, and that between microphones 3 and 4 is 0.16m, and the distance between microphones 2 and 3 equates to 0.95m. In most cases the system detects direction far more accurately than distance. These anomalies are due to a number of external factors which the system does not take into account such as the presence of other background noises which attenuate the prominence of the required signal, together with any reverberations present in the room. This analysis, performed using a Cartesian translation of real-life environment, can be performed by the system in 2.107s. Provided that the sound source is not in quick motion, this processing time is quick enough to pinpoint the sound source’s location. | en_GB |
dc.language.iso | en | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | MATLAB | en_GB |
dc.subject | Acoustic localisation | en_GB |
dc.subject | Time delay systems | en_GB |
dc.title | Sound localisation | en_GB |
dc.type | bachelorThesis | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.publisher.institution | University of Malta | en_GB |
dc.publisher.department | Faculty of Information and Communication Technology. Department of Communications and Computer Engineering | en_GB |
dc.description.reviewed | N/A | en_GB |
dc.contributor.creator | Spiteri Stafrace, Marc Alan | - |
Appears in Collections: | Dissertations - FacICT - 2017 Dissertations - FacICTCCE - 2017 |
Files in This Item:
File | Description | Size | Format | |
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17BCE007.pdf Restricted Access | 1.59 MB | Adobe PDF | View/Open Request a copy |
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