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» On Compressible Pairings and Their Computation
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CORR
2010
Springer
97views Education» more  CORR 2010»
15 years 4 months ago
On the Scaling Law for Compressive Sensing and its Applications
1 minimization can be used to recover sufficiently sparse unknown signals from compressed linear measurements. In fact, exact thresholds on the sparsity, as a function of the ratio...
Weiyu Xu, Ao Tang
JCAM
2010
111views more  JCAM 2010»
15 years 1 months ago
Finite element simulation of compressible particle-laden gas flows
A macroscopic two-fluid model of compressible particle-laden gas flows is considered. The governing equations are discretized by a high-resolution finite element method based on a...
Marcel Gurris, Dmitri Kuzmin, Stefan Turek
SIGMETRICS
2011
ACM
270views Hardware» more  SIGMETRICS 2011»
14 years 9 months ago
Scalable monitoring via threshold compression in a large operational 3G network
Threshold-based performance monitoring in large 3G networks is very challenging for two main factors: large network scale and dynamics in both time and spatial domains. There exis...
Suk-Bok Lee, Dan Pei, MohammadTaghi Hajiaghayi, Io...
ICIP
2006
IEEE
16 years 8 months ago
Low-Rate Reduced Complexity Image Compression using Directionlets
The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth...
Vladan Velisavljevic, Baltasar Beferull-Lozano, Ma...
ICIP
2005
IEEE
16 years 8 months ago
The M-term pursuit for image representation and progressive compression
This paper introduces a sparse signal representation algorithm in redundant dictionaries, called the M-Term Pursuit (MTP), with an application to image representation and scalable ...
Adel Rahmoune, Pierre Vandergheynst, Pascal Frossa...