Strip Integration in Radio Astronomy
By R. Bracewell. 1956
Subfields: Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Signal Processing
- M. Serdar
- Tristan Bepler
- S. Brisard
- Bonnie Berger
- Paulo J. M. Monteiro
- Ben Mildenhall
- Joseph H. Davis
- Ren Ng
Citations in the corpus
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains (2020, background): “This follows from the fact that CT and MRI measurements can both be formulated as Fourier space sampling: CT samples rotated slices in Fourier space through the origin [7] and MRI samples operator-chosen Fourier trajectories.”
- Fourier slice photography (2005, methodology): “The theory is derived from the geometrical optics of image formation, and makes use of the well-known Fourier Slice Theorem [Bracewell 1956].”
- Multiscale X-ray tomography of cementitious materials: A review (2020, background): “That this problem indeed has a unique solution was established by Radon [25] one hundred years ago almost to the day; the modern proof of this result relies on the Fourier slice theorem (usually attributed to Bracewell [26]) The 1D Fourier transform (with respect to x) of the projection P(x, y, θ) a”
- Reconstructing continuous distributions of 3D protein structure from cryo-EM images (2019, background): “This correspondence is known as the Fourier slice theorem (Bracewell (1956)).”