Information dimension

In information theory, information dimension is an information measure for random vectors in Euclidean space, based on the normalized entropy of… (More)
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Papers overview

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2017
2017
Jalali and Poor (“Universal compressed sensing,” arXiv:1406.7807v3, Jan. 2016) have recently proposed a gen eralization of Rényi… (More)
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2017
2017
Jalali and Poor (“Universal compressed sensing,” arXiv:1406.7807v3, Jan. 2016) have recently proposed a generalization of Rényi's… (More)
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2014
2014
The fractal and self-similarity properties are revealed in many complex networks. In order to show the influence of different… (More)
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2013
2013
The fractal and self-similarity properties are revealed in many real complex networks. However, the classical information… (More)
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2013
2013
We propose to measure statistical dependence between two random variables by the mutual information dimension (MID), and present… (More)
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Highly Cited
2010
Highly Cited
2010
In Shannon theory, lossless source coding deals with the optimal compression of discrete sources. Compressed sensing is a… (More)
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Highly Cited
2006
Highly Cited
2006
A new graphical tool for measuring the time constancy of dynamical systems is presented and illustrated with typical examples. In… (More)
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1999
1999
The impact of information load (both under and overload) on decision quality is an important topic, yet results of empirical… (More)
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Highly Cited
1999
Highly Cited
1999
We prove that every hyperbolic measure invariant under a C diffeomorphism of a smooth Riemannian manifold possesses… (More)
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1997
1997
Multi-fractal patterns occur widely in nature. In developing new algorithms to determine multi-fractal spectra of experimental… (More)
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