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
Link To Document :
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