50 search results - page 2 / 10 » Distributed sensing of signals linked by sparse filtering |
TSP
2010
12 years 11 months ago
2010
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
—In this paper we investigate the local probability density function (pdf) of natural signals in sparse domains. The statistical properties of natural signals are characterized m...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In recent work, we studied the problem of causally reconstructing time sequences of spatially sparse signals, with unknown and slow time-varying sparsity patterns, from a limited ...