IEEE Transactions on Circuits and Systems · 1975 · 1.1K citations · 13 references
Natural SciencesComputer ScienceMathematicsAlgorithmsSpectroscopyTime Series AnalysisFourier AnalysisFrequency-domain AnalysisSignal ProcessingSpectral AnalysisSpectral TheoryTime-frequency AnalysisFourier TransformFourier Transform TheorySpectral Estimation
If only a segment of a function <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f (t)</tex> is given, then its Fourier spectrum <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F(\omega)</tex> is estimated either as the transform of the product of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f(t)</tex> with a time-limited window <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">w(t)</tex> , or by certain techniques based on various a priori assumptions. In the following, a new algorithm is proposed for computing the transform of a band-limited function. The algorithm is a simple iteration involving only the fast Fourier transform (FFT). The effect of noise and the error due to aliasing are determined and it is shown that they can be controlled by early termination of the iteration. The proposed method can also be used to extrapolate bandlimited functions.
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Probability, Random Variables, and Stochastic Processes
Irwin Miller, Anthanasios Papoulis · Technometrics · 1966 · 6.5K citations
Engineering, Mathematics, Physics +14
Maximum entropy spectral analysis
John P. Burg · Medical Entomology and Zoology · 1967 · 1.9K citations