Sciweavers

260 search results - page 11 / 52
» Compressed Sensing of Analog Signals
Sort
View
CORR
2008
Springer
178views Education» more  CORR 2008»
13 years 10 months ago
Model-Based Compressive Sensing
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
Richard G. Baraniuk, Volkan Cevher, Marco F. Duart...
GLOBECOM
2009
IEEE
14 years 4 months ago
Data Acquisition through Joint Compressive Sensing and Principal Component Analysis
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...
CORR
2008
Springer
234views Education» more  CORR 2008»
13 years 10 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
ICASSP
2011
IEEE
13 years 1 months ago
Compressive Sensing for over-the-air ultrasound
The advent of Compressive Sensing has provided significant mathematical tools to enhance the sensing capabilities of hardware devices. In this paper we apply Compressive Sensing ...
Petros Boufounos
ISCAS
2007
IEEE
126views Hardware» more  ISCAS 2007»
14 years 4 months ago
Theory and Implementation of an Analog-to-Information Converter using Random Demodulation
— The new theory of compressive sensing enables direct analog-to-information conversion of compressible signals at subNyquist acquisition rates. We develop new theory, algorithms...
Jason N. Laska, Sami Kirolos, Marco F. Duarte, Tam...