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» Efficient Multidimensional Sampling
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105
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EVOW
2006
Springer
15 years 1 months ago
The Core Concept for the Multidimensional Knapsack Problem
Abstract. We present the newly developed core concept for the Multidimensional Knapsack Problem (MKP) which is an extension of the classical concept for the one-dimensional case. T...
Jakob Puchinger, Günther R. Raidl, Ulrich Pfe...
TSP
2008
116views more  TSP 2008»
14 years 9 months ago
Nonideal Sampling and Regularization Theory
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant" space, wh...
Sathish Ramani, Dimitri Van De Ville, Thierry Blu,...
ICIP
2010
IEEE
14 years 7 months ago
Morphological wavelet transform with adaptive dyadic structures
We propose a two component method for denoising multidimensional signals, e.g. images. The first component uses a dynamic programing algorithm of complexity O(N log N) to find an ...
Zhen James Xiang, Peter J. Ramadge
62
Voted
ICIP
2005
IEEE
15 years 11 months ago
Sampling in practice: is the best reconstruction space bandlimited?
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant " space, ...
Sathish Ramani, Dimitri Van De Ville, Michael Unse...
DATE
2010
IEEE
153views Hardware» more  DATE 2010»
15 years 2 months ago
HORUS - high-dimensional Model Order Reduction via low moment-matching upgraded sampling
— This paper describes a Model Order Reduction algorithm for multi-dimensional parameterized systems, based on a sampling procedure which incorporates a low order moment matching...
Jorge Fernandez Villena, Luis Miguel Silveira