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Sampling and Phase Space     315


               insight when we bestow it with many of the WDF properties. For ex-
               ample, a signal with a finite bandwidth might have a PSD shown in
               Fig. 10.1.
                 In Fig. 10.1a we show the PSD of a signal that has a finite bandwidth.
               It is well known that in the strict mathematical sense any signal that
               has such a property must, as a consequence, have infinite spatial sup-
               port. However, in many practical cases we assume that the signal
               has an approximately finite support in both domains, and the PSD of
               such a signal is shown in Fig. 10.1b. The subject of finite support is ad-
               dressed in greater detail in Sec. 10.3. The PSD that is bounded in both
               x and k is much easier to use for illustrating some of the properties of
               the WDF. For example, the application of the FT to our signal brings
                        ◦
               about a 90 rotation of the WDF and therefore the PSD as shown in
               Fig. 10.1c. The Fresnel transform causes a horizontal shearing of the


                           k                   k                 k



                                    x                x                 x






                         (a)                  (b)              (c)


                           k                  k                  k



                                   x                x                   x





                         (d)                (e)                (f)


               FIGURE 10.1 The PSD of a signal (a) having finite bandwidth and therefore
               an infinite spatial support, (b) having approximately finite spatial support
               and finite bandwidth, (c) which is a Fourier transform of signal represented
               in part b,(d) which is a Fresnel transform of the signal represented in part b,
               (e) which is a signal represented in part b after being multiplied by a chirp
               function, and (f) which is a linear canonical transform of the signal
               represented in part b.
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