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Volume 29 Issue 8
Jan.  2011
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Jian Tao, Su Feng, He You, Qu Chang-wen, Ping Dian-fa. A Detection Algorithm of Robust Neural Network for Heavy-tailed Noise[J]. Journal of Electronics & Information Technology, 2007, 29(8): 1864-1867. doi: 10.3724/SP.J.1146.2005.01465
Citation: Jian Tao, Su Feng, He You, Qu Chang-wen, Ping Dian-fa. A Detection Algorithm of Robust Neural Network for Heavy-tailed Noise[J]. Journal of Electronics & Information Technology, 2007, 29(8): 1864-1867. doi: 10.3724/SP.J.1146.2005.01465

A Detection Algorithm of Robust Neural Network for Heavy-tailed Noise

doi: 10.3724/SP.J.1146.2005.01465
  • Received Date: 2005-11-15
  • Rev Recd Date: 2006-05-08
  • Publish Date: 2007-08-19
  • Compared with Gaussian noise, Heavy-tailed noise has more outliers, and the traditional neural network can not suppress outliers. A new neural network based on median filter is proposed. After suppressing the outliers in signal through median filter, the BP (Back Propagation) is used and remained noise is eliminated further. The experiment based on the error analyses shows that compared with the traditional neural network, the proposed method can suppress heavy-tailed noise and detect target signal more effectively. It can perform well for both heavy-tailed noise and Gaussian noise background, which shows its robustness and adaptiveness.
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  • Barkat B and Abed-Meraim K. An effective technique for the IF estimation of FM signals in heavy-tailed noise. Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology [C]. Darmstadt, Germany, 2003: 637-640.[2]Brcich R F, Iskander D R, and Zoubir A M. The stability test for symmetric alpha-stable distributions [J].IEEE Trans. on Signal Processing.2005, 53(3):977-986[3]Akhtar S, Elshafei-Abmed M, and Ahmed M S. Detection of helicopters using neural nets [J].IEEE Trans. on Instrumentation and Measurement.2001, 50(3):749-756[4]Wang Zhishun, He Zhenya, and Chen J D Z. Robust time delay estimation of bioelectric signals using least absolute deviation neural network [J].IEEE Trans. on Biomedical Engineering.2005, 52(3):454-462[5]Huber P. Robust estimation of a location parameter [J]. Ann, Math, Stat, 1964, 35: 1753-1758.[6]Djurovic I, Katkovnik V, and Stankovic L. Instantaneous frequency estimation based on the robust spectrogram. IEEE International Conference on Acoustics, Speech, and Signal Processing [C], Salt Lake City, Utah, 2001, 6: 3517-3520.[7]Fitch J P, Coyle E J, and Galagher N C, et al.. Median filtering by threshold decomposition [J].IEEE Trans. on Acoust. Speech, Signal Proc.1984, 32(6):1183-1188[8]靳蕃. 神经计算智能基础原理方法 [M]. 成都: 西南交通大学出版社, 2000: 123-137.[9]张立明. 人工神经网络的模型及其应用 [M]. 上海复旦大学出版社, 1993: 87-164.[10]Tsakalides P, Reveliotis P, and Nikias C L. Scalar quantisation of heavy-tailed signals [J].IEE Proceedings Vision, Image and Signal Processing.2000, 147(5):475-484
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