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Explain Inverse Discrete-Time Fourier Transform
1. Observe the same things among this formula and the inverse analogue Fourier transform:
2. The range of integration is just now -π to π rather than -∞ to ∞. (π corresponds to half the sampling frequency).
3. Negative frequencies are once again included.
4. With the DTFT, the forward transform is a summation and the inverse transform is an integral. This is because {h[n]} is a sequence whereas H(ej?) is a function of the continuous variable ?.
Q. The full-wave rectified waveform, approximated by the first three terms of its Fourier series, is given by v (ωt) = V m sin (ωt/2), for 0 ≤ ωt ≤ 2π, and where V m = 100
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