Page 316 - Phase Space Optics Fundamentals and Applications
P. 316

Self-Imaging in Phase Space    297


                 We now use the superposition principle and interpret the PSD of
               the comb function after shearing, in Fig. 9.8, as the PSD of an input
               signal with a 0 = 1 and a q = 0 for q = 1, ... ,Q − 1. Then the output
               signal is the set of Talbot coefficients b q = c q . Next we investigate the
               case a 1 = 1 and a q = 0 for q  = 1. Thus the PSD in Fig. 9.8 merely has
               to be shifted in x by d/Q. The same shift has to be considered for the
               phase function of the modulating chirp, i.e.,

                                                      	 2
                                            Q       d
                               	(x) = exp i     x −                 (9.33)
                                            d 2     Q
               Sampling the shifted chirp again at x q = qd/Q results in a reordering
               of the Talbot coefficients. We obtain the output coefficients b q = c q−1 ,
               where the subscript of the Talbot coefficients needs to be evaluated
               modulo Q.
                 This procedure can be repeated by considering all input samples
               a q in turn. The solution of the diffraction problem is obtained as
               a superposition of diffraction amplitudes associated with all input
               coefficients, i.e.,
                                          Q−1
                                          ,

                                     b =     c q −q a q             (9.34)

                                      q
                                          q=0
               where again the subscript q − q has to be calculated modulo Q.

               This linear transformation is completely determined by the matrix
               C ={c q −q }, and Eq. (9.34) can be used to obtain the Fresnel diffrac-

               tion amplitude in any fractional Talbot plane (M, N). We can extend
               the matrix description effortlessly to planes (M, 2Q), by applying the
                                                                       M
               linear transformation M times; i.e., the system matrix becomes C .
               Planes defined by odd numbers Q are identical to fractional Tal-
               bot planes (2M, 2L), with L = 2Q. This implies, however, that we
               need to consider twice as many samples per period to cover this case
               with the matrix formalism in Eq. (9.34). This is necessary because
               for odd Q, the Q copies of the input signal are shifted laterally by
               qd/Q + d/(2Q). 28,29,34  Doubling of the sampling frequency automati-
               cally incorporates this shift. At least for formal explorations this seems
               to be a small disadvantage if compared to the fact that all fractional
               Talbot planes are covered with one single compact expression, while
               other definitions need to distinguish carefully between different cases
               (see, for example, Ref. 35).
                 Finally, we can also include planes specified by odd numbers N,
               which were discussed in Sec. 9.6, by computing the transfer matrix
               for fractional Talbot planes (4M, 4N). Again, we accept twice as many
               samples as necessary to describe the diffraction problem in order to
               apply the formalism without modification. Note, however, that the
   311   312   313   314   315   316   317   318   319   320   321