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Compressed Sensing algorithms have provided feasible and reasonably accurate solutions to the problem of reconstructing signals of which only sub-Nyquist number of samples have been acquired. A framework called MOSAICS for acquiring multiple analog channels using limited number of A/D converters by exploiting CS based undersampling has been proposed in our previous work. In this paper we introduce...
Signal acquisition under a compressed sensing scheme offers the possibility of acquisition and reconstruction of signals sparse on some basis incoherent with measurement kernel with sub-Nyquist number of measurements. In particular when the sole objective of the acquisition is the detection of the frequency of a signal rather than exact reconstruction, then an undersampling framework like CS is able...
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