81 search results - page 2 / 17 » Reconstruction of sparse signals from distorted randomized m... |
CISS
2010
IEEE
12 years 9 months ago
2010
IEEE
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
ICIP
2009
IEEE
14 years 6 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 ...
ICASSP
2008
IEEE
13 years 12 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
2007
Springer
13 years 5 months ago
2007
Springer
This article extends the concept of compressed sensing to signals that are not sparse in an orthonormal basis but rather in a redundant dictionary. It is shown that a matrix, whic...
CISS
2010
IEEE
12 years 9 months ago
2010
IEEE
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...