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TIT
2010
128views Education» more  TIT 2010»
13 years 3 months ago
Shannon-theoretic limits on noisy compressive sampling
In this paper, we study the number of measurements required to recover a sparse signal in M with L nonzero coefficients from compressed samples in the presence of noise. We conside...
Mehmet Akçakaya, Vahid Tarokh
CORR
2011
Springer
174views Education» more  CORR 2011»
13 years 9 days ago
GPS Signal Acquisition via Compressive Multichannel Sampling
In this paper, we propose an efficient acquisition scheme for GPS receivers. It is shown that GPS signals can be effectively sampled and detected using a bank of randomized corre...
Xiao Li, Andrea Rueetschi, Yonina C. Eldar, Anna S...

Book
778views
15 years 6 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
ICCV
1999
IEEE
14 years 10 months ago
Vision in Bad Weather
Current vision systems are designed to perform in clear weather. Needless to say, in any outdoor application, there is no escape from "bad" weather. Ultimately, computer...
Shree K. Nayar, Srinivasa G. Narasimhan
ASPLOS
2009
ACM
14 years 9 months ago
Commutativity analysis for software parallelization: letting program transformations see the big picture
Extracting performance from many-core architectures requires software engineers to create multi-threaded applications, which significantly complicates the already daunting task of...
Farhana Aleen, Nathan Clark