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Hexagonal sampling

Known as: Multidimensional Sampling and Importance of Hexagonal Sampling, Multidimensional sampling and the importance of hexagonal sampling 
A multidimensional signal is a function of M independent variables where . Real world signals, which are generally continuous time signals, have to… Expand
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Papers overview

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2009
2009
  • Qingtang Jiang
  • IEEE Transactions on Signal Processing
  • 2009
  • Corpus ID: 873334
The hexagonal lattice was proposed as an alternative method for image sampling. The hexagonal sampling has certain advantages… Expand
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2002
2002
With processing power of computers and capabilities of graphics devices increasing rapidly, the time is ripe to consider using… Expand
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2001
2001
This paper presents a novel image compression scheme based on the perceptual classification of image patterns in the Discrete… Expand
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Highly Cited
1997
Highly Cited
1997
In Earth observation programs there is a need of passive low frequency (L-band) measurements to monitor soil moisture and ocean… Expand
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Highly Cited
1996
Highly Cited
1996
In this paper a new method for the analysis of fingerprint images is presented. A Hexagonal Fourier Transform is applied that… Expand
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1992
1992
Two‐dimensional (2-D) spatially varying convolutional filters for three‐dimensional (3-D) depth extrapolation are efficiently… Expand
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1990
1990
The majority of machine vision systems derive their input data by digitising an image to produce a square grid of sampled points… Expand
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1989
1989
Abstract An optimum hexagonal sampling structure for use with a raster scan input device is described. A set of local operators… Expand
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1989
1989
A case is made for the use of regular hexagonal sampling systems in robot vision applications. With such a sampling technique… Expand
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Highly Cited
1979
Highly Cited
1979
Two-dimensional signals are normally processed as rectangularly sampled arrays; i.e., they are periodically sampled in each of… Expand
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