Theory of Compressive Sensing with Quadratic Phase Systems and Examples in Optics Academic Article uri icon

abstract

  • We examine compressive sensing (CS) systems where the sensing mechanism is based on convolution with a quadratic phase function. The performance of such systems is evaluated as function of the system parameters. Examples of CS application involving optical quadratic phase filters are presented, including three dimensional object reconstructions from two dimensional recorded quadratic phase filtered fields, and reconstruction of objects set behind a partially opaque media.

publication date

  • January 1, 2013