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Sampling and Phase Space     317


               effect may be observed using the WDF. When the signal with PSD
               shown in Fig. 10.1b is multiplied by the harmonic with PSD shown
               in Fig. 10.2a the resultant PSD is given by the convolution of the two
               along the k axis as defined in Eq. (10.5). The result of this convolution
               is an exact replica of the signal’s WDF centred at k = k 0 . Chirp func-
                                                          2
               tions are mathematically expressed as exp(+ j  x ). In the paraxial
               approximation such functions represent spherical waves with cur-
               vature  . The effect of a thin lens with focal length f is modeled
               by multiplying by a chirp function where   = 1/  f . In the case of
               convex and concave lenses   is negative and positive, respectively.
               The WDF of the chirp signal can be shown to be  (k −  x). Thus at
               any point x only one local frequency exists at k =  x. The PSD for
               the chirp signal is shown in Fig. 10.2c. In this case   = 1/ tan(− ).
               Again the arrows indicate that this Dirac delta line extends outward
               infinitely.
                 From Eq. (10.4) we know that if a signal is convolved in space with
                               2
               a chirp exp(+ j  x ), their WDFs are also convolved along x. Hence
               the PSD shown in Fig. 10.1d, is given by the convolution along x of
               the PSDs shown in Fig. 10.1b and Fig. 10.2c. This can be interpreted
               as the paraxial approximation of spherical waves with curvature  .
               This is actually equivalent to a LCT with A = D = 1,B = 1/ ,
               and C = 0. Therefore if a signal is convolved with a chirp function
                        2
               exp( j  x ), the signal’s WDF undergoes the following coordinate
               transformation.

                              {u(x)}(x, k) →  {u(x)}(x + k/a, k)   (10.10)

               This follows from Eq. (10.9) and is known as a horizontal shearing. We
               note that as   = 1/ z in such a convolution, the result is the Fresnel
               transform for a distance z.
                 Similarly from Eq. (10.5) we can see that if a signal is multiplied
                                         2
               in space with a chirp exp( j  x ), their WDFs are convolved along k.
               Hence the PSD shown in Fig. 10.1e is given by the convolution along
               k of the PSDs in Fig. 10.1b and Fig. 10.2c. Again it is equivalent to a
               LCT, this time with A = D = 1,C = 1/ , and   = 0. Therefore if
                                                             2
               a signal is multiplied with a chirp function exp( j  x ), the signal’s
               WDF undergoes the following coordinate transformation.
                                                        x

                               {u(x)}(x, k) →  {u(x)} x, k +       (10.11)
                                                        a
               This is known as vertical shearing. We note that if   = 1/  f ,
               such a convolution, and the resultant WDF coordinate transforma-
               tion, describes the result of a signal passing through a lens of focal
               length f .
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