This problem illustrates the basis for an FFT-based procedure for interpolating the samples (obrained at a rate
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This problem illustrates the basis for an FFT-based procedure for interpolating the samples (obrained at a rate satisgying the Nyquist theorem) of a periodic continuous-time signal. Let
be a periodic signal that is processed by the system in Figure P10.42-1.
(a) Sketch the 16-point sequence G[k].
(b) Specify how you would change G[k] into a 32-point sequence Q[k] so that the 32-point inverse DFT of Q[k] is a sequence
q[n] = αxc (n2π/32) , 0 ≤ n ≤ 31,
for some nonzero constant a. You need not specify the value of a.
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Related Book For
Discrete Time Signal Processing
ISBN: 978-0137549207
2nd Edition
Authors: Alan V. Oppenheim, Rolan W. Schafer
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