Title :
Compressive Sensing [Lecture Notes]
fDate :
7/1/2007 12:00:00 AM
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;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2007.4286571