7.21. A signal x(t) with Fourier transform X(jw) undergoes impulse-train sampling to generate where T = 10-4. For each of the following sets of constraints on x(t) and/or X(j), does the sampling theorem (see Section 7.1.1) guarantee that x(t) can be recovered exactly from xp(t)? (a) X(jo) = 0 for lal > 5000π (b) x(ja)-0 for lol > 15000m (c) Re(X(jw)} = 0 for lal > 5000m (d) x(t) real and X(ju)-0 for ω > 5000TT (e) x(t) real and X(jw) = 0 for ω <-1 5000π (f) x(ja) * x(ja) 0 for lal > 1 5000π (g) Kja))-0 for ω > 5000π 7.21. A signal x(t) with Fourier transform X(jw) undergoes impulse-train sampling to generate where T = 10-4. For each of the following sets of constraints on x(t) and/or X(j), does the sampling theorem (see Section 7.1.1) guarantee that x(t) can be recovered exactly from xp(t)? (a) X(jo) = 0 for lal > 5000π (b) x(ja)-0 for lol > 15000m (c) Re(X(jw)} = 0 for lal > 5000m (d) x(t) real and X(ju)-0 for ω > 5000TT (e) x(t) real and X(jw) = 0 for ω 1 5000π (g) Kja))-0 for ω > 5000π
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Engineering 2022-05-15 19:04:59