1036 search results - page 15 / 208 » A Novel Framework for Imaging Using Compressed Sensing |
CORR
2011
Springer
12 years 11 months ago
2011
Springer
—This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple ...
ICIP
2009
IEEE
14 years 8 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 ...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
We introduce a set theoretic framework for watermarking and illustrate its effectiveness by designing a hierarchical semi-fragile watermark that is tolerant to compression and all...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
TSP
2008
13 years 7 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...