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10 items by relevance
1 Conference paper

Power Spectrum Estimation of Randomly Sampled Signals

Velte, C. M.; Buchhave, P.; K. George, W.

sine waves. The primary signal and the corresponding power spectrum are shown in Figure 1. The conventional spectrum shows multiple erroneous mixing frequencies and the peak values are too low. The residence time weighted spectrum is correct. The sample-and-hold spectrum has lower power than

Year: 2015

Language: English

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2 Conference paper

Power Spectrum Estimation of Randomly Sampled Signals

Velte, Clara M.; Buchhave, Preben; K. George, William

Proceedings of the 17th International Symposium on Applications of Laser Techniques To Fluid Mechanics — 2014

modernalgorithms ultimately are based on), sample-and-hold and the direct spectral estimator without residence time weighting, and compare how they perform in relation to power spectra based on the equidistantly sampled reference signal. The computer generated signal is a Poisson process with a sample rate

Year: 2014

Language: English

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