A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications

Compressive Sensing (CS) is a new sensing modality, which compresses the signal being acquired at the time of sensing. Signals can have sparse or compressible representation either in original domain or in some transform domain. Relying on the sparsity of the signals, CS allows us to sample the sign...

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Veröffentlicht in:	IEEE access Jg. 6; S. 4875 - 4894
Hauptverfasser:	Rani, Meenu, Dhok, S. B., Deshmukh, R. B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acquisitions & mergers Algorithms Compressed sensing Compressibility Compressive sensing CS acquisition strategies CS applications CS reconstruction algorithms Domains Image reconstruction Magnetic resonance imaging Mathematical model OMP random demodulator Reconstruction Reconstruction algorithms Sensors Sparse matrices sparsity Transforms Ultrawideband Video communication
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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