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Nader Alharbi

  • i7295806 at bournemouth dot ac dot uk
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Journal Articles

  • Alharbi, N., 2018. A novel approach for noise removal and distinction of EEG recordings. Biomedical Signal Processing and Control, 39, 23-33.
  • Alharbi, N., Ghodsi, Z. and Hassani, H., 2016. Noise correction in gene expression data: a new approach based on subspace method. MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 39 (13), 3750-3757.
  • Alharbi, N. and Hassani, H., 2016. A new approach for selecting the number of the eigenvalues in singular spectrum analysis. Journal of the Franklin Institute, 353 (1), 1-16.
  • Alharbi and Alharbi, N., 2015. A study on the empirical distribution of the scaled Hankel matrix eigenvalues. Journal of Advanced Research, 6 (6), 925-929.
  • Ghodsi, M., Alharbi, N. and Hassani, H., 2015. The Empirical Distribution of the Singular Values of a Random Hankel Matrix. Fluctuation and Noise Letters, 14 (3).
  • Hassani, H., Alharbi, N. and Ghodsi, M., 2014. Distinguishing chaos from noise: A new approach. International Journal of Energy and Statistics, 2 (2), 137-150.
  • Hassani, H., Alharbi, N. and Ghodsi, M., 2014. A short Note on the Pattern of Singular Values of a Scaled Random Hankel Matrix. International Journal of Applied Mathematics, 27 (3).


  • Alharbi, 2014. On the eigenvalues of a scaled Hankel Matrix. In: The 34th International Symposium on Forecasting 29 June-2 July 2014 Rotterdam, The Netherlands.
  • Alharbi, 2013. Analysis and Forecasting Chaotic Time Series With Singular Spectrum Analysis. In: The 33rd International Symposium on Forecasting 23-26 June 2013 At KAIST College of Business, Seoul, Korea.


  • Alharbi, N., 2017. Separability between signal and noise components using the distribution of scaled Hankel matrix eigenvalues with application in biomedical signals. PhD Thesis. Bournemouth University, Faculty Of Management.
The data on this page was last updated at 14:46 on May 5, 2021.