Publications associées à Complex normal distribution

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Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms

Pierre Vandergheynst, Rémi Gribonval, Karin Schnass

This paper provides new results on computing simultaneous sparse approximations of multichannel signals over redundant dictionaries using two greedy algorithms. The first one, p-thresholding, selects the S atoms that have the largest

p

-correlation while ...

2008

Complex normal distribution

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A New Measure of Travel Time Reliability for In-Vehicle Navigation Systems

Using KL-based Acoustic Models in a Large Vocabulary Recognition Task

Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms

Liver receptor homolog 1 is essential for ovulation

Quantifying hydrological modeling errors through a mixture of normal distributions

Minimizing Trilateration Errors in the Presence of Uncertain Landmark Positions

Regional climate model data used within the SWURVE project. 2: Addressing uncertainty in regional climate model data for five European case study areas

Time-Varying Segmentation for Mapping of Land Cover Changes

A Laplace mixture model for the identification of differential expression in microarrays

The Distributed Karhunen-Loève Transform

Liver receptor homolog 1 is essential for ovulation

A New Measure of Travel Time Reliability for In-Vehicle Navigation Systems

Minimizing Trilateration Errors in the Presence of Uncertain Landmark Positions

The Distributed Karhunen-Loève Transform

Regional climate model data used within the SWURVE project. 2: Addressing uncertainty in regional climate model data for five European case study areas

Time-Varying Segmentation for Mapping of Land Cover Changes

Using KL-based Acoustic Models in a Large Vocabulary Recognition Task

Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms

A Laplace mixture model for the identification of differential expression in microarrays

Quantifying hydrological modeling errors through a mixture of normal distributions