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Aliasing

Known as: Folding, Spectral folding, Folding (signal processing) 
In signal processing and related disciplines, aliasing is an effect that causes different signals to become indistinguishable (or aliases of one… Expand
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Related topics

Related topics

50 relations
Aliasing (computing)Anisotropic filteringAnti-aliasingAnti-aliasing filter
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2007
Highly Cited
2007
Spatial Aliasing in Spherical Microphone Arrays
Performance of microphone arrays at the high-frequency range is typically limited by aliasing, which is a result of the spatial… Expand
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Highly Cited
2006
Highly Cited
2006
Effective typestate verification in the presence of aliasing
This paper addresses the challenge of sound typestate verification, with acceptable precision, for real-world Java programs. We… Expand
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Highly Cited
2002
Highly Cited
2002
Uniform designs limit aliasing
When fitting a linear regression model to data, aliasing can adversely affect the estimates of the model coefficients and the… Expand
Highly Cited
2001
Highly Cited
2001
Complex Wavelets for Shift Invariant Analysis and Filtering of Signals
This paper describes a form of discrete wavelet transform, which generates complex coefficients by using a dual tree of wavelet… Expand
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Highly Cited
2000
Highly Cited
2000
Perfect reconstruction formulas and bounds on aliasing error in sub-nyquist nonuniform sampling of multiband signals
We examine the problem of periodic nonuniform sampling of a multiband signal and its reconstruction from the samples. This… Expand
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Highly Cited
1998
Highly Cited
1998
Ownership types for flexible alias protection
Object-oriented programming languages allow inter-object aliasing. Although necessary to construct linked data structures and… Expand
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Highly Cited
1994
Highly Cited
1994
The undecidability of aliasing
Alias analysis is a prerequisite for performing most of the common program analyses such as reaching-definitions analysis or live… Expand
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Highly Cited
1992
Highly Cited
1992
Reinforcement Learning with Perceptual Aliasing: The Perceptual Distinctions Approach
It is known that Perceptual Aliasing may significantly diminish the effectiveness of reinforcement learning algorithms [Whitehead… Expand
Highly Cited
1987
Highly Cited
1987
Subband/Transform coding using filter bank designs based on time domain aliasing cancellation
A new, oddly stacked, critically sampled, single side-band (SSB) [7] analysis/synthesis system based on Time Domain Aliasing… Expand
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Highly Cited
1986
Highly Cited
1986
Analysis/Synthesis filter bank design based on time domain aliasing cancellation
A single-sideband analysis/synthesis system is proposed which provides perfect reconstruction of a signal from a set of… Expand
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