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» Characterizing Uncertain Data using Compression
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ECCV
2010
Springer
13 years 6 months ago
Hybrid Compressive Sampling via a New Total Variation TVL1
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
Xianbiao Shu, Narendra Ahuja
CGO
2004
IEEE
13 years 11 months ago
Exposing Memory Access Regularities Using Object-Relative Memory Profiling
Memory profiling is the process of characterizing a program's memory behavior by observing and recording its response to specific input sets. Relevant aspects of the program&...
Qiang Wu, Artem Pyatakov, Alexey Spiridonov, Easwa...
TIT
2010
138views Education» more  TIT 2010»
13 years 2 months ago
Functional compression through graph coloring
Motivated by applications to sensor networks and privacy preserving databases, we consider the problem of functional compression. The objective is to separately compress possibly c...
Vishal Doshi, Devavrat Shah, Muriel Médard,...
TSP
2010
13 years 2 months ago
Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...
Christian R. Berger, Shengli Zhou, James C. Preisi...
TIP
2008
107views more  TIP 2008»
13 years 7 months ago
Sampling-Based Correlation Estimation for Distributed Source Coding Under Rate and Complexity Constraints
In many practical distributed source coding (DSC) applications, correlation information has to be estimated at the encoder in order to determine the encoding rate. Coding efficien...
Ngai-Man Cheung, Huisheng Wang, Antonio Ortega