22 search results - page 1 / 5 » Compressed sensing performance bounds under Poisson noise |
TSP
2010
12 years 11 months ago
2010
Abstract--This paper describes performance bounds for compressed sensing (CS) where the underlying sparse or compressible (sparsely approximable) signal is a vector of nonnegative ...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
We attempt to quantify the possible gains that can be achieved by examining a rate-distortion competition between a conventional and a compressive sampling solution to data rate r...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
The MUSIC algorithm, and its extension for imaging sparse extended objects, with noisy data is analyzed by compressed sensing (CS) techniques. A thresholding rule is developed to a...
ICIP
2009
IEEE
14 years 5 months ago
2009
IEEE
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
TSP
2008
13 years 4 months ago
2008
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...