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Kotoku, J., Kumagai, S., Uemura, R., Nakabayashi, S. and Kobayashi, T. (2016) Automatic Anomaly Detection of Respiratory Motion Based on Singular Spectrum Analysis. International Journal of Medical Physics, Clinical Engineering and Radiation Oncology, 5, 88-95.

has been cited by the following article:

• TITLE: Spectral Density Estimation of Continuous Time Series

  AUTHORS: Ahmed Elhassanein

  KEYWORDS: Joint Segments of Observations, Modified Periodograms, Spectral Density Matrix, Wishart Matrix

  JOURNAL NAME: Applied Mathematics, Vol.7 No.17, November 17, 2016

  ABSTRACT: This paper studies spectral density estimation of a strictly stationary r-vector valued continuous time series including missing observations. The finite Fourier transform is constructed in L-joint segments of observations. The modified periodogram is defined and smoothed to estimate the spectral density matrix. We explore the properties of the proposed estimator. Asymptotic distribution is discussed.