574 search results - page 24 / 115 » Sequential Compressed Sensing |
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
ICUMT
2009
13 years 5 months ago
2009
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...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
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...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to...
ISBI
2009
IEEE
14 years 2 months ago
2009
IEEE
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...