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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 2 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 10 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 9 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 9 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...