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About 10,000 papers for “Aliasing”

Aliasing

Alfred L. Horowitz · 1995

Cited by 0

Aliasing

2008

Abstract Object ownership and the nesting between objects are arguably important but under appreciated aspects of objectoriented programming. They are also prominent in many alias management schemes. We model object ownership in an extension to Abadi and Cardelli's object calculus [1]. Object owners, called contexts, can be created during evaluation allowing ownership on a per object basis. Contexts are partial-ordered to capture the containment relationship between objects.

Cited by 0

Aliasing

Frank R. Miele · ˜The œCanadian journal of medical sonography. · 2018

Cited by 0

Aliasing

THORN EMI Home Electronics Ltd · 1986

As stated earlier, the highest applied frequency that can be reproduced by PCM is half the sample frequency.

Cited by 0

Aliasing

M.J. Brennan, Bin Tang · 2022

Cited by 0

aliasing, n.

Oxford University Press eBooks · 2023

Cited by 0

Aliasing Artifact

National Cancer Institute · Definitions · 2020

An artifact that occurs when the scanned body part is larger than field of view (FOV) such that portions of the object outside of the desired FOV get mapped to an incorrect location inside the FOV.

Cited by 0Open access

Doppler Aliasing

Andrew A. Pellett, William G. Tolar, Darrin G. Merwin et al. · Echocardiography · 2005

Cited by 11

Anti Aliasing

Jon Claerbout Keywords, Jon F. Claerbout · 2007

Field arrays filter spatially. On dipping arrivals this produces a temporal filtering effect. To match field arrays, Kirchhoff operators are designed to antialias with short rectangle and triangle smoothing functions whose duration depends on the local trace-to-trace moveout. Integrals under triangular shaped weighting windows are rapidly computed from the double integral of the trace. Each integral is a weighted sum of three values of the double integral, one from each corner of the triangle. Complete code is given along with examples.

Cited by 0

Spatial aliasing

Jakob B. U. Haldorsen · 2020

Temporal aliasing occurs when a waveform is sampled with less than two points per time period for a signal at a given frequency. This insufficiently sampled frequency will incorrectly be mapped into a lower (aliased) frequency. Analog to this, spatial aliasing is said to occur when a propagating waveform is measured at spatial intervals larger than half the wavelength of any given signal in that waveform. Temporally aliased frequencies cannot be recovered. On the other had, we argue that ”spatial aliasing” can be viewed as an expression of a nonuniqueness for estimating the direction of the propagation for signal at a given frequency, and may be overcome when threecomponent seismic sensors are used. Realizing this allows for using higher frequencies, and therefore enables the generation of higher resolution images from the data. This is particularly useful for borehole-seismic data which tend to contain higher frequencies than surface-seismic data. With the new technology of Distributed Acoustic Sensing, using backscattering in optical fibers, one can relatively inexpensively build large well-bore arrays of single-component sensors; however spatial aliasing will be a problem if only single components are measured. Complementing a fiber-optical sensor array with sparsely distributed three-component sensors would resolve the directional ambiguities of the fiber-optical sensor data. Presentation Date: Tuesday, October 13, 2020 Session Start Time: 8:30 AM Presentation Time: 11:25 AM Location: 360D Presentation Type: Oral

Cited by 3

Aliasing in PNAH

Schuurbiers, XGP · TU/e Research Portal (Eindhoven University of Technology) · 2005

Cited by 0