93 search results - page 9 / 19 » Reconstructing sparse signals from their zero crossings |
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
CORR
2008
Springer
13 years 6 months ago
2008
Springer
In this paper we introduce an information theoretic approach and use techniques from the theory of Huffman codes to construct a sequence of binary sampling vectors to determine a s...
TMI
2008
13 years 6 months ago
2008
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
Recent work in the emerging field of compressive sensing indicates that, when feasible, judicious selection of the type of distortion induced by measurement systems may dramatica...
CORR
2011
Springer
13 years 1 months ago
2011
Springer
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...