Question: 7 . 2 1 . A signal x ( t ) with Fourier transform X ( jw ) undergoes impulse - train sampling to generate

7.21. A signal x(t) with Fourier transform X(jw) undergoes impulse-train sampling to
generate
00
xp(t)= :L, x(nT)o(t - nT)
n=- oo
where T = w-4. For each of the following sets of constraints on x(t) and/or X(jw ),
does the sampling theorem (see Section 7.1.1) guarantee that x(t) can be recovered
exactly from Xp(t)?
(a) X(jw)=0 for lwl >50001T
(b) X(jw)=0 for lwl >150001T
(c) CR.e{X(jw)}=0 for lwl >50001T
(d) x(t) real and X(jw)=0 for w >50001T
(e) x(t) real and X(jw)=0 for w <-150001T
(f) X(jw)* X(jw)=0 for lwl >150001T
(g) IX(Jw )I =0 for w >50001T

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