Spectrum estimation using extrapolated time series

Several techniques for estimation of the power spectral density (PSD) , or simply the spectrum, of discretely sampled short data sequences are investigated in this thesis. These techniques are directly based on the fast Fourier transform (FFT) of the data sequence. However, an extrapolated version of the original data sequence will be used instead of the original. The aim is to enhance the resolution of the true spectral components of the signal without adding any false frequency components. Several data extrapolation models are analyzed and their performance at different signal to noise ratios (SNR's) and model orders are examined. http://archive.org/details/spectrumestimati1094527690 Lieutenant, United States Navy Approved for public release; distribution is unlimited.