- 2080 Asoj · 4+4 marks
FT of rectangular pulse and constant; duality
Short answer
Rectangular pulse A·rect(t/τ) has FT Aτ Sa(ωτ/2); constant A gives 2πA δ(ω). Duality: if x(t) ↔ X(ω) then X(t) ↔ 2π x(−ω). A sinc pulse in time thus yields a bandlimited rectangular spectrum.
Find the Fourier transform of continuous time rectangular pulse and constant amplitude A. State and prove duality property of continuous time Fourier transform with suitable example.
FT of a rectangular pulse
Take a pulse of amplitude and width , centred at :
The peak is (the area of the pulse), and the zeros are at ,
x(t) X(w)
A ______ A*tau _
| | / \
____| |____ __ _ / \ _ __
-tau/2 tau/2 \_/ \/ \/ \_/
---------+---------- w
-2pi/tau 0 2pi/tau
FT of a constant A
A constant is not absolutely integrable, so start from the inverse transform of an impulse:
This is also the limit of the rectangular pulse as : the sinc becomes taller and narrower, and its area stays .
Duality property
Statement: if , then .
Proof: from the inverse transform,
Put :
Then interchange the symbols and :
Example 1 (from the parts above): . By duality, . This matches the constant result with .
Example 2 (sinc in time): the rectangle gives . Since the rectangle is even, duality gives
A sinc pulse in time has a rectangular (band-limited) spectrum. With and , this becomes the ideal low-pass filter pair for (and 0 otherwise).
✓ Answer checked by Claude Opus 5.5 (high effort)
Related questions
- FT of periodic signals; rect pulse and constant · Signals and Systems, chapter 3
- FT of unit impulse and rectangular pulse · Signals and Systems, chapter 3
- Duality property of CTFT · Signals and Systems, chapter 3 · asked 3×
- FT of e^(−at)u(t); amplitude and phase · Signals and Systems, chapter 3
- Fourier transform of a trapezoidal pulse · Signals and Systems, chapter 3
- Time shifting property of CTFT · Signals and Systems, chapter 3 · asked 5×
- Fourier transform property: Duality · Communication Systems, chapter 1
- Fourier transform property: Time shifting · Communication Systems, chapter 1
- Fourier transform property: Modulation · Communication Systems, chapter 1
- Fourier transform property: Scaling · Communication Systems, chapter 1