Open AccessMoving off the grid in an experimental, compressively sampled photonic link
Author(s) -
Jonathan M. Nichols,
Colin V. McLaughlin,
F. Bucholtz
Publication year - 2015
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.23.018052
Subject(s) - computer science , grid , sampling (signal processing) , signal (programming language) , compressed sensing , obstacle , harmonic , optics , signal processing , process (computing) , algorithm , regular polygon , photonics , physics , telecommunications , acoustics , mathematics , detector , radar , geometry , political science , law , programming language , operating system
Perhaps the largest obstacle to practical compressive sampling is an inability to accurately, and sparsely describe the data one seeks to recover due to poor choice of signal model parameters. In such cases the recovery process will yield artifacts, or in many cases, fail completely. This work represents the first demonstration of a solution to this so-called "off-grid" problem in an experimental, compressively sampled system. Specifically, we show that an Alternating Convex Search algorithm is able to significantly reduce these data model errors in harmonic signal recovery.