đ Continuous Time Convolution – Advanced Worked Problems
This section focuses on convolution involving finite duration signals. Careful limit selection is the key to solving these problems.
đš Problem 1
Given:
x(t) = u(t) − u(t−2) h(t) = u(t) − u(t−3)
Both are rectangular pulses.Step 1: Understand Signals
x(t) → Pulse from 0 to 2 h(t) → Pulse from 0 to 3Step 2: Convolution Formula
y(t) = ∫ x(Ī) h(t−Ī) dĪ
Step 3: Overlap Regions
Case 1: t < 0 → No overlap → y(t)=0 Case 2: 0 ≤ t < 2 Overlap length = ty(t) = t
Case 3: 2 ≤ t < 3 Full overlap of width 2y(t) = 2
Case 4: 3 ≤ t < 5 Overlap decreasingy(t) = 5 − t
Case 5: t ≥ 5 → No overlap → 0Final Answer:
Triangular shaped output.đš Problem 2
Given:
x(t) = e^{-t} u(t) h(t) = u(t) − u(t−1)
Step 1: Limits
h(t) active only from 0 to 1Step 2: Convolution
y(t) = ∫ e^{-Ī} dĪ
Limits depend on overlap: Case 1: 0 ≤ t ≤ 1y(t) = 1 − e^{-t}
Case 2: t > 1y(t) = e^{-(t-1)} − e^{-t}
đš Problem 3
Convolution of two rectangular pulses of width T:
x(t) = u(t) − u(t−T) h(t) = same
Output:y(t) = t for 0 ≤ t ≤ T 2T − t for T ≤ t ≤ 2T
Triangular waveform.đš Key Observations
- Rectangle * Rectangle → Triangle
- Step * Step → Ramp
- Impulse * x(t) → x(t)
đ¯ GATE Important Tips
- Always draw signals first
- Find overlap region carefully
- Split solution into time intervals
- Most mistakes happen in limits
Convolution = Area of Overlap as One Signal Slides Over Another
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