Page 58 - Fundamentals of Communications Systems
P. 58

2.10  Chapter Two

                       Property 2.6 If x(t) is real and odd, i.e., x(t) =−x(−t), then X(f ) is an imaginary valued
                       and odd function of frequency.

                       Theorem 2.2 (Rayleigh’s Energy)

                                                   ∞            ∞

                                                         2             2
                                            E x =    |x(t)| dt =  |X(f )| df              (2.33)
                                                  −∞           −∞
                       EXAMPLE 2.17
                       Example 2.1 (cont.). For the Fourier transform pair of

                                         1   0 ≤ t ≤ T p
                                 x(t) =                   X(f ) = T p exp[ j π fT p ]sinc( fT p )  (2.34)
                                         0   elsewhere
                       the energy is most easily computed in the time domain

                                                        T p

                                                              2
                                                 E x =    |x(t)| dt = T p                 (2.35)
                                                       0


                       EXAMPLE 2.18
                       Example 2.2 (cont.). For the Fourier transform pair of


                                                                    1  | f |≤ W
                                      x(t) = 2Wsinc(2Wt)   X(f ) =                        (2.36)
                                                                    0  elsewhere
                       the energy is most easily computed in the frequency domain

                                                        W
                                                              2
                                                E x =    |X(f )| df = 2W                  (2.37)
                                                      −W

                       Theorem 2.3 (Convolution) The convolution of two time functions, x(t) and h(t), is
                       defined as
                                                             ∞

                                           y(t) = x(t) ∗ h(t) =  x(λ)h(t − λ)dλ           (2.38)
                                                            −∞
                       The Fourier transform of y(t) is given as

                                                Y (f ) = F{y(t)}= H(f )X(f )              (2.39)

                       Theorem 2.4 (Duality) If X(f ) = F{x(t)}, then

                                           x(f ) = F{X(−t)}  x(− f ) = F{X(t)}            (2.40)
   53   54   55   56   57   58   59   60   61   62   63