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2.32  Chapter Two

                       Problem 2.20. An energy spectrum has a peak value of 0.02. Find the value the
                       energy spectrum must go below to be

                       (a) 40-dB below the peak.
                       (b) 3-dB below the peak.
                       Problem 2.21. A concept that sometimes finds utility in engineering practice is
                       the concept of RMS bandwidth. The RMS bandwidth is defined as


                                                          ∞

                                                              2
                                                W R =        f G x (f )df                 (2.98)
                                                         −∞
                       For the energy spectrum in Figure 2.14 find the RMS bandwidth.
                       Problem 2.22. A concept that often finds utility in engineering practice is the
                       concept of group delay. For a linear system with a transfer function denoted

                                               H(f ) = H A(f ) exp[ jH p (f )]            (2.99)

                       the group delay of this linear system is defined as

                                                           1 d
                                                 τ g (f ) =−   H p (f )                  (2.100)
                                                          2π df

                         Group delay is often viewed as the delay experienced by a signal at frequency
                        f when passing through the linear system H(f ).

                       (a) An ideal delay element has an impulse response given as h(t) = δ(t − τ d ),
                           where τ d > 0 is the amount of delay. Find the group delay of an ideal delay
                           element.
                       (b) An example low pass filter has

                                                                1
                                                     H(f ) =                             (2.101)
                                                            j 2π f + a
                           Plot the group delay of this filter for 0 ≤ f ≤ 5a.
                       (c) Give a nontrivial H(f ) that has τ g (f ) = 0. In your example is the filter
                           causal or anticausal?
                       Problem 2.23. (RW) An interesting characteristic of the Fourier transform is lin-
                       earity and linearity can be used to compute the Fourier transform of complicated
                       functions by decomposing these function into sums of simple functions.

                       (a) Prove if y(t) = x 1 (t) + x 2 (t), then Y (f ) = X 1 (f ) + X 2 (f ).
                       (b) Find the Fourier transform of the signal given in Figure 2.15.
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