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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… 
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Related topics

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Aliasing (computing)Anisotropic filteringAnti-aliasingAnti-aliasing filter

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2005
Highly Cited
2005
High-Order Collocation Methods for Differential Equations with Random Inputs
Recently there has been a growing interest in designing efficient methods for the solution of ordinary/partial differential… 
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… 
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… 
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… 
Highly Cited
1998
Highly Cited
1998
Language Primitives and Type Discipline for Structured Communication-Based Programming
We introduce basic language constructs and a type discipline as a foundation of structured communication-based concurrent… 
Highly Cited
1998
Highly Cited
1998
A Pixel Dissimilarity Measure That Is Insensitive to Image Sampling
Because of image sampling, traditional measures of pixel dissimilarity can assign a large value to two corresponding pixels in a… 
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… 
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… 
Review
1991
Review
1991
Pointer-induced aliasing: a problem classification
A?iasing occurs at some program point during execution when two or more names exist for the same location. We have isolated… 
Review
1971
Review
1971
Image processing
Image processing techniques find applications in many areas, chief among which are image enhancement, pattern recognition, and… 
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