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TSP
2008
118views more  TSP 2008»
15 years 1 months ago
Channel-Aware Random Access Control for Distributed Estimation in Sensor Networks
A cross-layered slotted ALOHA protocol is proposed and analyzed for distributed estimation in sensor networks. Suppose that the sensors in the network record local measurements of ...
Y.-W. P. Hong, Keng-U Lei, Chong-Yung Chi
CORR
2010
Springer
128views Education» more  CORR 2010»
15 years 1 months ago
Blind Compressed Sensing
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...
Sivan Gleichman, Yonina C. Eldar
CORR
2007
Springer
110views Education» more  CORR 2007»
15 years 1 months ago
Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
Martin J. Wainwright
CGF
2004
140views more  CGF 2004»
15 years 1 months ago
Measurement-Based Interactive Simulation of Viscoelastic Solids
Animation of viscoelastic solids in entertainment and medical applications as well as scientific simulation can be improved through observations of real world objects. This paper ...
Jeffrey Schoner, Jochen Lang, Hans-Peter Seidel
ICASSP
2011
IEEE
14 years 5 months ago
Exploiting an interplay between norms to analyze scalar quantization schemes
Quantization is intrinsic to several data acquisition systems. This process is especially important in distributed settings, where observations must rst be compressed before they ...
Parimal Parag, Jean-François Chamberland