81 search results - page 1 / 17 » Reconstruction of sparse signals from distorted randomized m... |
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper we show that, surprisingly, it is possible to recover sparse signals from nonlinearly distorted measurements, even if the nonlinearity is unknown. Assuming just that...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
CISS
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract—Compressive sensing is a new signal acquisition technology with the potential to reduce the number of measurements required to acquire signals that are sparse or compres...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
ICASSP
2011
IEEE
12 years 8 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...