FT of Rectangular Pulse
rect(t/T) <-> T*sinc(wT/2pi), spectral spreading.
The Fourier transform of a rectangular pulse produces a sinc function in the frequency domain, directly explaining why ideal low-pass filters require infinite bandwidth. This result is fundamental to understanding pulse shaping in digital communications.
Core Concept
A rectangular pulse is defined as 1 for |t| <= T/2 and 0 elsewhere, where T is the pulse duration. It is the simplest finite-duration signal. Its abrupt edges at t = +-T/2 mean it contains high-frequency components that do not decay quickly, which the sinc spectrum reflects.
The Fourier transform integral of this pulse is straightforward because the integrand is simply e^(-j2*pi*f*t) over the finite interval [-T/2, T/2]. Evaluating this integral gives T times the sinc function. The first zero of the sinc occurs at f = 1/T, so a shorter pulse (smaller T) spreads energy to higher frequencies.
This trade-off between pulse width in time and spectral width in frequency is the time-bandwidth product principle. Narrower pulses require more bandwidth. Digital communication systems use this to determine how much spectrum a data pulse occupies.
Key Formula
For x(t) = rect(t/T), the Fourier transform is X(f) = T * sinc(f*T). The sinc function is defined as sinc(x) = sin(pi*x)/(pi*x). The first zeros of X(f) occur at f = +-1/T, +-2/T, ... The peak value is X(0) = T, the area under the pulse. Note: some textbooks define sinc(x) = sin(x)/x without the pi, which shifts where zeros fall. Check the convention used.
Given: x(t) = rect(t/4), so T = 4
Find: X(f)
Step 1: Write the integral
X(f) = integral from -2 to 2 of e^(-j2*pi*f*t) dt
Step 2: Evaluate
X(f) = [e^(-j2*pi*f*t) / (-j2*pi*f)] from -2 to 2
= [e^(-j4*pi*f) - e^(j4*pi*f)] / (-j2*pi*f)
Step 3: Use Euler identity (e^(jx) - e^(-jx)) = 2j*sin(x)
Numerator: e^(-j4*pi*f) - e^(j4*pi*f) = -2j*sin(4*pi*f)
X(f) = -2j*sin(4*pi*f) / (-j2*pi*f)
= sin(4*pi*f) / (pi*f)
Step 4: Rewrite using sinc
X(f) = 4 * sin(4*pi*f)/(4*pi*f)
= 4 * sinc(4f)
Final Answer: X(f) = 4 sinc(4f)
First zeros at f = +-0.25, +-0.5, +-0.75, ...Exam Tip: The null-to-null bandwidth of a rectangular pulse of duration T is 2/T Hz. The main-lobe bandwidth (one-sided) is 1/T. GATE problems often ask for bandwidth given pulse duration, so memorise: BW = 1/T for main lobe, 2/T for null-to-null. Also, the energy spectral density is |X(f)|^2 = T^2 * sinc^2(fT), which is the squared sinc.
Properties Summary
- FT pair: rect(t/T) <-> T*sinc(fT), valid for any pulse duration T > 0.
- Time scaling: rect(t/T) has first zero at f = 1/T; doubling T halves the spectral width.
- Even symmetry: rect(t/T) is even in t, so X(f) is real and even in f.
- Peak value: X(0) = T, equal to the area under the time-domain pulse.
- Duality: T*sinc(tT) in time has FT equal to rect(f/T), a rectangle in frequency.
- Energy: integral |x(t)|^2 dt = T (since x = 1 over duration T), equals integral |X(f)|^2 df by Parseval.
Quick Revision
- rect(t/T) = 1 for |t| < T/2, 1/2 for |t| = T/2, and 0 for |t| > T/2.
- FT result: X(f) = T * sinc(fT) = T * sin(pi*f*T)/(pi*f*T).
- X(0) = T; zeros at f = n/T for n = +-1, +-2, ...
- Main-lobe width: 2/T (extends from -1/T to +1/T).
- Sinc side lobes decrease as 1/(pi*f*T) in amplitude.
- The FT of a pulse shifted to [0, T] is X(f)*e^(-j*pi*f*T), adding linear phase but not changing |X(f)|.
- Exam trap: confusing the sinc convention. If sinc(x) = sin(x)/x (no pi), the FT of rect(t/T) becomes T*sin(2*pi*f*T/2)/(2*pi*f*T/2) and zeros shift accordingly. Always check which sinc definition the textbook uses.
Rectangular Pulse FT
Test your knowledge of the Fourier transform of the rectangular pulse and its sinc spectrum properties.
Q1.The Fourier transform of a rectangular pulse rect(t/T) of duration T is:
Related Articles
Rectangular Pulse
rect(t/T), gate function, spectral properties.
8 min read
FT of Step Function
u(t) <-> pi*delta(w) + 1/jw.
12 min read
FT of Signum Function
sgn(t) <-> 2/jw, distribution sense.
5 min read
Multiplication Property FT
x*y in time <-> (1/2pi)X*Y convolution in frequency.
9 min read
FT of Exponential Signal
e^(-at)u(t) <-> 1/(a+jw), causal exponential.
11 min read