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6   Chapter One


                (r 1 , r 2 ) and its Fourier transform ¯  (q , q ),
                                               1
                                                  2


                                   1
                            1
                                                   1

                                                          1
                      ¯   q + q , q − q    =    r + r , r − r
                            2      2               2      2
                                                          t
                                         × exp[−i2 (q r + r q )] dr dr
                                                     t

                                                           t
                                       =    W(r, q) exp(−i2 r q ) dr


                                                            t

                                       =    A(r , q ) exp(−i2 q r ) dr    (1.13)
               and their definitions follow as


                                                           t
                                               1
                                        1
                        W(r, q) =    r + r , r − r exp(−i2 q r ) dr
                                        2      2

                                         1      1


                                                           t
                              =    ¯   q + q , q − q exp(i2 r q ) dq    (1.14)
                                         2      2


                                        1      1           t
                       A(r , q ) =    r + r , r − r exp(−i2 r q ) dr
                                        2      2

                                         1      1

                                                            t

                              =    ¯   q + q , q − q exp(i2 q r ) dq  (1.15)
                                         2      2
               We immediately notice the realness of the Wigner distribution, and
               the Fourier transform relationship between the Wigner distribution
               and the ambiguity function:

                                                   t     t
                        A(r , q ) =  W(r, q) exp[−i2 (r q − q r )] dr dq


                               = F[W(r, q)](r , q )                 (1.16)
               This Fourier transform relationship implies that properties for the
               Wigner distribution have their counterparts for the ambiguity func-
               tion and vice versa: moments for the Wigner distribution become
               derivatives for the ambiguity function, convolutions in the Wigner
               domain become products in the ambiguity domain, etc.
                 We like to present the cross-spectral density  , its spatial Fourier
               transform ¯  , the Wigner distribution W, and the ambiguity function A
               at the corners of a rectangle (see Fig. 1.1). Along the sides of this rect-
               angle we have Fourier transformations r → q and r → q and their


               inverses, while along the diagonals we have double Fourier transfor-
               mations (r, r ) → (q , q) and (r, q) → (q , r ).




                 A distribution according to the definitions in (1.14) was introduced
                              2
               in optics by Dolin and Walther 3,4  in the field of radiometry; Walther
               called it the generalized radiance. A few years later it was reintroduced,
               mainly in the field of Fourier optics. 5–11  The ambiguity function was
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