DocumentCode
1086733
Title
Compressive Sensing [Lecture Notes]
Author
Baraniuk, R.G.
Volume
24
Issue
4
fYear
2007
fDate
7/1/2007 12:00:00 AM
Firstpage
118
Lastpage
121
Abstract
This lecture note presents a new method to capture and represent compressible signals at a rate significantly below the Nyquist rate. This method, called compressive sensing, employs nonadaptive linear projections that preserve the structure of the signal; the signal is then reconstructed from these projections using an optimization process.
Keywords
Nyquist criterion; data compression; optimisation; signal reconstruction; signal representation; Nyquist rate; compressive sensing; nonadaptive linear projections; optimization process; signal capturing; signal reconstruction; signal representation; Bandwidth; Data acquisition; Digital cameras; Image coding; Image sampling; Image storage; Matrices; Signal processing; Transform coding; Vectors;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2007.4286571
Filename
4286571
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