2017
DOI: 10.20944/preprints201712.0173.v1
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There Is Only One Fourier Transform

Abstract: Four Fourier transforms are usually defined, the Integral Fourier transform, the Discrete-Time Fourier transform (DTFT), the Discrete Fourier transform (DFT) and the Integral Fourier transform for periodic functions. However, starting from their definitions, we show that all four Fourier transforms can be reduced to actually only one Fourier transform, the Fourier transform in the distributional sense.

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Cited by 2 publications
(11 citation statements)
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“…Section 4 provides an introduction to the notations used and previous results. Section 5 presents a justification for Section 6 where regularization and localization coincide in the distributional sense [20][21][22] or deriving a digital radar image from the continuous case (the landscape being imaged) via operations of localization (windowing), discretization (sampling), convolution (defocusing) and deconvolution (focusing) [23].…”
Section: Introductionmentioning
confidence: 99%
“…Section 4 provides an introduction to the notations used and previous results. Section 5 presents a justification for Section 6 where regularization and localization coincide in the distributional sense [20][21][22] or deriving a digital radar image from the continuous case (the landscape being imaged) via operations of localization (windowing), discretization (sampling), convolution (defocusing) and deconvolution (focusing) [23].…”
Section: Introductionmentioning
confidence: 99%
“…Vice versa, fully discrete functions (vectors, matricies or tensors) can be converted back to fully smooth functions via inverse periodization (localization) and inverse discretization (regularization) [19]. It followed that the space of tempered distributions falls into four parts (or three if the two mixed spaces are combined to a space of "half-discrete" functions) [20]:…”
Section: Preliminariesmentioning
confidence: 99%
“…However, there is no possibility whatsoever to absolutly determine which of the two spaces should be called positive or negative dimensional. Their orientability rather behaves like a Möbius band [20]. A minus sign therefore simply expresses that it is the Fourier transform of another space or, equivalently, that "time" is running in an opposite direction.…”
Section: Negative Dimensional Spacesmentioning
confidence: 99%
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