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ATON - FFT: Metallrumpf Technologien ökologisch nachhaltig - FFT
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2021
U Uvodu je predstavljena tema rada i neke osnovne pojmove. Drugo poglavlje obuhvaća signale i razne podjele signala. Treće poglavlje bavi se Fourierovom analizom, odnosno reprezentacijom signala u frekvencijskoj domeni. U četvrtom poglavlju definira se diskretna Fourierova transformacija i pokazuje njezino računanje.
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U Uvodu je predstavljena tema rada i neke osnovne pojmove. Drugo poglavlje obuhvaća signale i razne podjele signala. Treće poglavlje bavi se Fourierovom analizom, odnosno reprezentacijom signala u frekvencijskoj domeni. U četvrtom poglavlju definira se diskretna Fourierova transformacija i pokazuje njezino računanje.
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2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010
Registration is a ubiquitous task for image analysis applications. Generally, the requirements of registration algorithms include fast computation and large capture range. For these purposes, registration in the Fourier domain using normalized cross correlation is well suited and has been extensively studied in the literature.
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Registration is a ubiquitous task for image analysis applications. Generally, the requirements of registration algorithms include fast computation and large capture range. For these purposes, registration in the Fourier domain using normalized cross correlation is well suited and has been extensively studied in the literature.
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Journal of the Institution of Electronic and Radio Engineers, 1985
In many examples of Fast Fourier Transform processing, a substantial loss arises from the so-called Picket Fence effect or from use of shaped time-windows or both. This paper describes a simple, easily implemented procedure which greatly reduces such loss in certain applications.
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In many examples of Fast Fourier Transform processing, a substantial loss arises from the so-called Picket Fence effect or from use of shaped time-windows or both. This paper describes a simple, easily implemented procedure which greatly reduces such loss in certain applications.
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