- 2074 Bhadra · 5+5 marks
CTFT convolution; DTFT of 2ⁿu[n]
Short answer
Convolution in time becomes multiplication in frequency: x(t) * h(t) ↔ X(jω)H(jω). For x[n] = 2^n u[n], the DTFT does not exist because the series diverges; if intended as (1/2)^n u[n], X(e^(jω)) = 1/(1 - 0.5e^(-jω)).
Show that convolution in time domain results multiplication in frequency domain using continuous time Fourier transform. Determine discrete time Fourier transform of the discrete time signal x[n] = 2ⁿ u[n] and also plot magnitude and phase spectrum.
Convolution property of CTFT
Statement: If and , then
Proof: The convolution is . Its FT is
The inner integral is the FT of shifted by , which by the time-shifting property is :
Hence convolution in time becomes multiplication in frequency. This is why the output of an LTI system is found simply as , where is the frequency response.
DTFT of
This geometric series converges only if , i.e. , which is false. Also , so the sequence is not absolutely summable. The DTFT of does not exist (its z-transform , ROC , does not include the unit circle).
The question is usually intended as , which is solved below.
| Phase | ||
|---|---|---|
| 2 | ||
| 1.155 | (minimum) | |
| 0.894 | ||
| 0.667 |
|X|
2 | *
| * *
|
| * *
| * *
| * * * *
0.67 |* * * * * *
+-------------------------------------------------> w
-pi 0 pi
phase (degrees)
+30 | * * *
| * *
| *
| *
0 |* * *
| *
| *
| * *
-30 | * * *
+-------------------------------------------------> w
-pi 0 pi
The magnitude is even (low-pass, peak 2 at ), the phase is odd (extremes at ), and both repeat every .
✓ Answer checked by Claude Opus 5.5 (high effort)
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