Active noise control using artificial neural network

Active noise control using artificial neural network

The project started with an extensive literature survey relating to Artificial Neural Networks, Real-time control and Active Noise Control. Specifications were drawn and a real-time system design performed. Based on the design, C language based programs were developed for each algorithm. A set of si...

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Bibliographic Details
Main Author: Nailul Hafiz Abdul Rahim
Other Authors: Saratchandran, Paramasivan
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:http://hdl.handle.net/10356/13210
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Institution: Nanyang Technological University
Language: English
Description
Summary:The project started with an extensive literature survey relating to Artificial Neural Networks, Real-time control and Active Noise Control. Specifications were drawn and a real-time system design performed. Based on the design, C language based programs were developed for each algorithm. A set of simulated input signals was generated to test the programs developed. It was observed that ANNs performed as well as the other algorithms for low frequency noise, but deteriorated as the frequency was increased. The ANN controller was also poorer at handling broadband noise compared to the other two controllers.

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