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                        TABLE 23.3  Fourier Series Symmetry Conditions
                        Type of Symmetry   Real Fourier Series Coefficient  Complex Fourier Series Coefficients  Comments

                        Even periodic      a k =  4 --- ∫  T/2 xt() cos ( 2πkf 0 t) td  c k =  1 --a k  Phase of c k  is
                        xt() =  x –()          T 0                           2             either zero or π
                               t
                                                   b k =  0            c k  has real value
                                                                              1
                        Odd periodic              a k =  0               c k =  – j--b k  Phase of c k  is
                        xt() =  x – –()        4  T/2                         2            either π/2 or
                                t
                                           b k =  --- ∫  xt() sin ( 2πkf 0 t) td  c k  has imaginary values  −π/2
                                               T 0
                        Half-wave even symmetry
                                              a 2k  and b 2k  may have
                                                                          c 2k  ≠ 0
                              
                                               nonzero values but
                        xt() =  xt +  T      a 2k+1  = 0,  b 2k+1  = 0   c 2k+1  = 0
                                 ---
                                 2 
                              
                        Half-wave odd symmetry  a 2k+1  and b 2k+1  may have   c 2k  = 0
                        xt() =  x –    t +  T   nonzero values but     c 2k+1  ≠ 0
                                  ---
                                  2 
                                                      b 2k  = 0
                                               a 2k  = 0,
                                 TABLE 23.4  Properties of the Fourier Series
                                 Property              Signal Description  Fourier Series Coefficients, c k
                                 Linearity          ax(t) + by(t); a, b constants  aα k  + bβ k
                                 Multiplication            x(t)y(t)             α k  ∗ β k
                                 Convolution              x(t) ∗ y(t)            α k β k
                                                        1  t 1 +T  2            ∞   2
                                 Parseval’s theorem     --- ∫  xt() d t         ∑  α k
                                                                               k=∞
                                                                                –
                                                        T t 1
                                                                                  j ± 2πf 0 τ
                                 Time shift                x(t ± τ)            α k e
                                                            n
                                                           d
                                                                                    n
                                 Differentiation           -------xt()         (j2πkf 0 ) α k
                                                           dt  n
                                                                                −1
                                 Integration              ∫  x τ() τd      (j2πkf 0 ) α k , α 0  = 0
                                                           T
                       where c 0  is the dc component, c k  and θ k  represent the amplitude and phase angle of the kth harmonic,
                       respectively. Equation (23.22) is called the harmonic form of Fourier series expansion of x(t). The parameters
                       c k  and θ k  are related to a k  and b k  according to

                                             c 0 =  a 0  c k =  a k +  b k ,  θ k =  tan ----
                                                                 2
                                                             2
                                                                             –
                                                                             1 b k
                                                ----,
                                                 2                            a k
                       Properties of the Fourier Series 1,4
                       Knowledge of signal symmetry can simplify its complex Fourier series coefficients computation. While
                       many forms of symmetry can be established, the following important types of symmetry are more often
                       encountered in signal analysis:
                          • even symmetry, x(t) = x(−t)
                          • odd symmetry, x(t) = −x(t)
                          • half-wave odd symmetry, x(t) = −x(t + T/2)
                       The effects of symmetry on the Fourier series computations are shown in Table 23.3. The other properties
                       on Fourier series are summarized in Table 23.4, where α k  and β k  are the complex Fourier series coefficients
                       of x(t) and y(t), respectively.


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