Redundancy (information theory)

Known as: Redundancy 
In Information theory, redundancy measures the fractional difference between the entropy H(X) of an ensemble X, and its maximum possible value… (More)
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Topic mentions per year

Topic mentions per year

1957-2018
02040608019572017

Papers overview

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Highly Cited
2009
Highly Cited
2009
This paper presents a novel technique, Memory Mapped ECC, which reduces the cost of providing error correction for SRAM caches… (More)
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Highly Cited
2007
Highly Cited
2007
Classification and extraction of spatial features are investigated in urban areas from high spatial resolution multispectral… (More)
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Highly Cited
2006
Highly Cited
2006
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high… (More)
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Highly Cited
2004
Highly Cited
2004
Many applications in wireless sensor networks, including structure monitoring, require collecting all data without loss from the… (More)
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Highly Cited
2002
Highly Cited
2002
ÐThe Massey-Omura multiplier of GF …2m† uses a normal basis and its bit parallel version is usually implemented using m identical… (More)
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Highly Cited
2001
Highly Cited
2001
The human visual system (HVS) is highly space-variant in sampling, coding, processing, and understanding. The spatial resolution… (More)
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Highly Cited
2001
Highly Cited
2001
This paper extends the analytical redundancy techniques, well developed for linear systems, to FDI in non-linear dynamic systems… (More)
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Highly Cited
2000
Highly Cited
2000
FOREST FIRES CAUSE MANY ENVIronmental disasters, creating economical and ecological damage as well as endangering people’s lives… (More)
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Highly Cited
1997
Highly Cited
1997
A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from information… (More)
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Highly Cited
1997
Highly Cited
1997
Reducing or eliminating statistical redundancy between the components of high-dimensional vector data enables a lower-dimensional… (More)
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