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  • 标题:Multilayer Neural Network-Burg Combination for Acoustical Detection of Buried Objects
  • 本地全文:下载
  • 作者:Mujahid AL-Azzo ; Lubna Badri‎
  • 期刊名称:The International Arab Journal of Information Technology
  • 印刷版ISSN:1683-3198
  • 出版年度:2010
  • 卷号:7
  • 期号:4
  • 出版社:Zarqa Private University
  • 摘要:A Burg technique is employed to model the long wavelength localization and imaging problem. A Burg method is used as a ‎high resolution and stable technique. The idea of in-line holography is used to increase the ratio of the signal to noise due to ‎the effect of concealing media that decreases the value of the received signal. The performance is enhanced by using ‎multilayer neural network for noise reduction. The aim of using multilayer neural network is to extract the essential ‎knowledge from a noisy training data. Theoretical and experimental results have showed that preprocessing the noisy data ‎with multilayer neural network will decrease the effect of noise as much as possible. Applying the enhanced data to spectral ‎estimation methods has improved the performance of the model. A comparison is made for the two cases: with and without ‎application of neural network for different values of signal to noise ratio. Also, the performance is investigated for different ‎numbers of samples.‎
  • 关键词:Multilayer neural networks; holographic imaging; burg method; and modelling.‎
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