Journal Articles

• Alharbi, N., 2018. A novel approach for noise removal and distinction of EEG recordings. Biomedical Signal Processing and Control, 39, 23-33.
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• Alharbi, N., Ghodsi, Z., 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.
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• Alharbi, N., Hassani, H., 2016. A new approach for selecting the number of the eigenvalues in singular spectrum analysis. Journal of the Franklin Institute, 353 (1).
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• Alharbi, 2015. A study on the empirical distribution of the scaled Hankel matrix eigenvalues. Journal of Advanced Research, 6 (6).
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• Ghodsi, M., Alharbi, N., Hassani, H., 2015. The Empirical Distribution of the Singular Values of a Random Hankel Matrix. Fluctuation and Noise Letters, 14 (3).
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• Hassani, H., Alharbi, N., Ghodsi, M., 2014. Distinguishing chaos from noise: A new approach. International Journal of Energy and Statistics, 2 (2).
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• Hassani, H., Alharbi, N., 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).
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Conferences

• Alharbi, 2014. On the eigenvalues of a scaled Hankel Matrix. In: The 34th International Symposium on Forecasting 29/06/2014 Rotterdam, The Netherlands.
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• Alharbi, 2013. Analysis and Forecasting Chaotic Time Series With Singular Spectrum Analysis. In: The 33rd International Symposium on Forecasting 23/06/2013 At KAIST College of Business, Seoul, Korea.
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Theses

• Alharbi, N.. Separability between signal and noise components using the distribution of scaled Hankel matrix eigenvalues with application in biomedical signals. Bournemouth University, Faculty Of Management.
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