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Sampling and Phase Space     329


                 We note for the first time an interesting observation. Regardless
               of what LCT caused phase space to be compact in some direction,
               the sampling representation can always be based on the assumption
               of a chirped signal. In addition, this does not change the number
               of samples despite any bandwidth compression or expansion. From
               Eq. (10.31) we can see that only two parameters of the LCT are em-
               ployed in interpolation.


          10.5 Simulating an Optical System:
                 Sampling at the Input and Output
               So far, we have discussed how to reconstruct a signal from its samples.
               Often we encounter the case where a signal is sampled, an LCT is
               applied to this discrete signal and the result of this is again sampled.
               This arises in numerical simulations, where the input and output are
               necessarily discrete, and when modeling paraxial optical systems with
               discrete elements such as SLMs and CCD cameras. In this section, we
               demonstrate how to sample a wave field which then undergoes a LCT,
               how to sample the output of this LCT and then reconstruct from these
               samples the analog LCT of the original analog wave field. Our major
               goal here is to make sure that the LCT of the sampled signal actually
               looks like the LCT of the continuous signal. This should obviously
               be the case if we are to effectively simulate an optical system. This is
               described by the block diagram in Fig. 10.8. We make two assumptions
               about the input wave field: (1) It has approximately finite bandwidth,
               and (2) it has approximately finite support. Both of these assumptions
               are described by Eq. (10.23).
                 Inthecaseofthesesignalsitispossibletoderivearigoroussampling
               theorythatcanbeinterpretedandderivedinthesimplestpossibleway
               by employing PSDs.
                 Consider the first process in Fig. 10.8, sampling of the input.
               When a signal is sampled, its phase-space diagram is altered by the




                Analogue signal
                  bandwdth b  Sampling  Discrete signal  LCT  Analogue signal
                   extent d
                (Input wavefield)

                                      Reconstruction
                                         filtering             Sampling
                          Analogue signal         Discrete signal
                         (Output wavefield)



               FIGURE 10.8 Block diagram of the problem considered in this section.
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