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Compressive Sensing and Imaging Applications
Compressive sensing (CS) is a new sampling theory which allows reconstructing signals using sub-Nyquist measurements. It states that a signal can be recovered exactly from randomly undersampled data points if the signal ...
Regime Change: Sampling Rate vs. Bit-Depth in Compressive Sensing
The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demonstrated that structured signals can ...
Compressive Sensing for 3D Data Processing Tasks: Applications, Models and Algorithms
Compressive sensing (CS) is a novel sampling methodology representing a paradigm shift from conventional data acquisition schemes. The theory of compressive sensing ensures that under suitable conditions compressible signals ...