Compressive sensing: A methodological approach to an efficient signal processing
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Astaiza Hoyos, Evelio
Jojoa Gómez, Pablo Emilio
Bermúdez Orozco, Héctor Fabio
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EspañolFecha de publicación
2015-07-01
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Resumen
Compressive Sensing (CS) is a new paradigm for signal acquisition and processing, which integrates sampling, compression, dimensionality reduction and optimization, which has caught the attention of a many researchers; SC allows the reconstruction of dispersed signals in a given domain from a set of measurements could be described as incomplete, due to that the rate at which the signal is sampled is much smaller than Nyquist's rate. This article presents an approach to address methodological issues in the field of processing signals from the perspective of SC.