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CHAPTER10





                                   Sampling and Phase



                                                             Space





               Bryan M. Hennelly

               National University of Ireland, Maynooth, Ireland
               John J. Healy and John T. Sheridan

               University College Dublin, Ireland





          10.1 Introduction
               Sampling a continuous signal in order to represent or approximate
               it with a discrete one is of enormous importance in today’s digital
               world. In the optical sciences we are often interested in recording opti-
               cal signals with discrete photosensitive devices such as CCD or CMOS
               cameras. Such devices are sensitive to the intensity of an incident op-
               tical wave field and bring about the spatial sampling of this intensity
               pattern. By using interferometry it is possible to recover phase infor-
               mation from the recorded intensity pattern, and so we may say that
               we are effectively sampling the complex wavefront with our digital
               camera. The operation of discrete display devices, such as liquid crys-
               tal displays (LCDs) and electrically addressed spatial light modulators
               (SLMs), are also governed by sampling theory and are of increasing
               interest in diffractive optics. Thus, the discrete signal processing of
               digitally captured data plays a central role in modern optoelectronics,
               and this science is anchored in sampling theory. In the past decade
               the Wigner distribution function (WDF) and, moreover, its simplified
               version, the phase-space diagram (PSD), have been shown to be effec-
               tive tools in gaining considerable insight into the discrete sampling of
               signals. Not only does the PSD elegantly account for known sampling



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