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Average case analysis of multichannel sparse approximations using p- thresholding

Pierre Vandergheynst, Rémi Gribonval, Karin Schnass

This paper introduces

p

-thresholding, an algorithm to compute simultaneous sparse approximations of multichannel signals over redundant dictionaries. We work out both worst case and average case recovery analyses of this algorithm and show that the latte ...

2007

Analyse amortie

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Average case analysis of multichannel sparse approximations using p-thresholding - art. no. 67011X

Average case analysis of multichannel thresholding

Average case analysis of multichannel sparse approximations using p- thresholding

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Automatic Tracking of Particles in Dynamic Fluorescence Microscopy

Average case analysis of multichannel sparse approximations using p-thresholding - art. no. 67011X

Average case analysis of multichannel sparse approximations using p- thresholding

A profiling framework for high level design space exploration for memory and system architectures

Average case analysis of multichannel thresholding

Flow faster: efficient decision algorithms for probabilistic simulations

Average Performance Analysis for Thresholding

Building models of real-time systems from application software

Application of the code THEA to the CONDOPT experiment in SULTAN

Maintaining minimum spanning forests in dynamic graphs