No profile picture available

Nader Alharbi

  • i7295806 at bournemouth dot ac dot uk
Back to top

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.