Homework 2

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ECE 460: Communication and Information Theory
Prof. B.-P. Paris
Homework 2
Solution

  1. Problem 2.17
    (Convolution theorem:)
    F [x(t) ⋆ y(t)] = F [x(t)]F [y(t)] = X (f)Y (f)

    Thus

                          -1
sinc(t) ⋆ sinc (t) =   F   [F [sinc (t) ⋆ sinc(t)]]
                =   F -1[F [sinc (t)] ⋅ F[sinc(t)]]
                      -1                -1
                =   F   [Π (f)Π (f)] = F   [Π (f)]
                =   sinc (t)

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  2. Problem 2.18
                     ∫ ∞
F [x(t)y(t)]  =       x(t)y(t)e -j2πftdt
                 ∫- ∞∞ (∫ ∞              )
             =             X (θ)ej2πθtdθ  y(t)e -j2πftdt
                  -∞   - ∞(                    )
                 ∫ ∞        ∫ ∞      -j2π(f-θ)t
             =    -∞ X (θ)   -∞ y(t)e         dt dθ
                 ∫ ∞
             =       X (θ)Y (f -  θ)dθ = X (f) ⋆ Y (f)
                  -∞

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  3. Problem 2.27
    Let the response of the LTI system be h(t) with Fourier transform H(f). Then, from the convolution theorem we obtain
    Y (f) = H (f)X (f ) =⇒ Λ (f) = Π (f)H (f)

    However, this relation cannot hold since Π(f) = 0 for 1 2 < |f| whereas Λ(f)⁄=0 for 1 < |f|≤ 12.

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  4. Problem 2.56
                                         1-             1-
 x(t) = sinct cos2πf0t  =⇒    X (f) = 2Π (f + f0)) + 2Π (f - f0))
           2                           1               1
h(t) = sinc  tsin 2πf0t  =⇒    H (f) = - --Λ (f + f0)) +---Λ(f - f0))
                                       2j             2j
    The lowpass equivalents are
    Xl (f)  =  2u (f + f0)X (f +  f0) = Π (f)
                                   1-
Hl (f)  =  2u (f + f0)H (f +  f0) = jΛ (f )
                           (  1-            1
            1              |{  2j(f +  1)   - 2 < f ≤  0
 Yl(f)  =   -Xl(f )Hl (f) =    12j(- f + 1)  0 ≤ f <  12
            2              |(  0           otherwise
    Taking the inverse Fourier transform of Y l(f) we can find the lowpass equivalent response of the system. Thus,
               - 1
yl(t)  =  F   [Yl(f)]
          1-∫ 0         j2πft    -1-∫ 12          j2πft
      =   2j  - 1(f + 1)e   df + 2j  0 (- f + 1)e    df
            [  2                      ] |                 |
          1-- -1---  j2πft   --1---j2πft ||0    -1--1---j2πft||0
      =   2j  j2πtf e    +  4π2t2e      |- 1 + 2j j2πte   |- 1
              [                         ] 2|1               |12
           -1-  -1---  j2πft   --1---j2πft ||2   1---1-- j2πft||2
         - 2j   j2πtfe     +  4π2t2e      |0 +  2jj2πt e    |0
           [   1            1              ]
      =  j  - ----sin πt + -----(cos πt - 1)
              4πt         4π2t2
    The output of the system y(t) can now be found from y(t) = Re[yl(t)ej2πf0t]. Thus
                 [                                                         ]
y (t)  =   Re  (j[- -1--sinπt + --1---(cosπt - 1)])(cos 2πf0t + j sin2πf0t )
                  4πt         4 π2t2
           --1---             -1--
      =   [4π2t2(1 - cosπt) + 4πt sin πt]sin2πf0t

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