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CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 10 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro
SIGPRO
2010
135views more  SIGPRO 2010»
13 years 8 months ago
A short note on compressed sensing with partially known signal support
This short note studies a variation of the Compressed Sensing paradigm introduced recently by Vaswani et al., i.e. the recovery of sparse signals from a certain number of linear m...
Laurent Jacques
TIP
2010
132views more  TIP 2010»
13 years 8 months ago
Compress Compound Images in H.264/MPGE-4 AVC by Exploiting Spatial Correlation
—Compound images are a combination of text, graphics and natural image. They present strong anisotropic features, especially on the text and graphics parts. These anisotropic fea...
Cuiling Lan, Guangming Shi, Feng Wu
ASPDAC
2009
ACM
115views Hardware» more  ASPDAC 2009»
13 years 8 months ago
Frequent value compression in packet-based NoC architectures
The proliferation of Chip Multiprocessors (CMPs) has led to the integration of large on-chip caches. For scalability reasons, a large on-chip cache is often divided into smaller ba...
Ping Zhou, Bo Zhao, Yu Du, Yi Xu, Youtao Zhang, Ju...
ICUMT
2009
13 years 8 months ago
A Bayesian analysis of Compressive Sensing data recovery in Wireless Sensor Networks
Abstract--In this paper we address the task of accurately reconstructing a distributed signal through the collection of a small number of samples at a data gathering point using Co...
Riccardo Masiero, Giorgio Quer, Michele Rossi, Mic...