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.
|State||Published - 9 Dec 2013|
|Event||Wavelets and Sparsity XV - San Diego, CA, United States|
Duration: 26 Aug 2013 → 29 Aug 2013
|Conference||Wavelets and Sparsity XV|
|City||San Diego, CA|
|Period||26/08/13 → 29/08/13|