Sciweavers

260 search results - page 9 / 52
» Compressed Sensing of Analog Signals
Sort
View
CORR
2010
Springer
108views Education» more  CORR 2010»
13 years 10 months ago
Compressed Sensing: How sharp is the Restricted Isometry Property
Compressed sensing is a recent technique by which signals can be measured at a rate proportional to their information content, combining the important task of compression directly ...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner
ICASSP
2009
IEEE
14 years 4 months ago
A simple, efficient and near optimal algorithm for compressed sensing
When sampling signals below the Nyquist rate, efficient and accurate reconstruction is nevertheless possible, whenever the sampling system is well behaved and the signal is well ...
Thomas Blumensath, Mike E. Davies
ICASSP
2009
IEEE
14 years 4 months ago
A compressive sensing approach to object-based surveillance video coding
This paper studies the feasibility and investigates various choices in the application of compressive sensing (CS) to object-based surveillance video coding. The residual object e...
Divya Venkatraman, Anamitra Makur
ICIP
2008
IEEE
14 years 11 months ago
Kalman filtered Compressed Sensing
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...
Namrata Vaswani
ICASSP
2008
IEEE
14 years 4 months ago
Distributed compressed sensing: Sparsity models and reconstruction algorithms using annihilating filter
Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some commo...
Ali Hormati, Martin Vetterli