An FIR filter computes y[n] = 0.5·x[n] + 0.25·x[n − 1] − 0.5·x[n − 2]. The input is x[n] = {1, −1, 3, 1} for n = 0…3 and zero elsewhere. Find the output y[1].
Convolution & LTI systems worksheet with answers
1.Easy
b = {0.5, 0.25, −0.5}x[n] = {1, −1, 3, 1}, n = 0…3
y[1] =
2.Easy
The sequence x[n] is nonzero for n = -1…2 and h[n] for n = 3…5, as shown. Find the last index nlast at which y[n] = x[n] ∗ h[n] can be nonzero.
x[n]: n = -1…2h[n]: n = 3…5
nlast =
3.Medium
The signal x(t) is nonzero only between t = −1 s and t = 2 s, and h(t) only between t = 3 s and t = 7 s. Find the time tstart at which y(t) = x(t) ∗ h(t) starts.
x: −1 … 2 sh: 3 … 7 s
tstart = s
4.Medium
The signal x(t) is nonzero only between t = −2 s and t = 1 s, and h(t) only between t = −1 s and t = 0 s. Find the time tend at which y(t) = x(t) ∗ h(t) ends.
x: −2 … 1 sh: −1 … 0 s
tend = s
5.Hard
A system obeys y′(t) + 5·y(t) = 2·x(t). Find its impulse response at t = 0.1 s, h(0.1).
y′ + 5y = 2xt = 0.1 s
h(0.1) =
6.Hard
A system obeys y[n] = 0.5·y[n − 1] + 0.5·x[n] and starts at rest. The input is the unit step x[n] = u[n]. Find y[3].
y[n] = 0.5y[n − 1] + 0.5x[n]x[n] = u[n]
y[3] =
Answer key
- 1. y[1] = −0.25
- 2. nlast = 7
- 3. tstart = 2 s
- 4. tend = 1 s
- 5. h(0.1) = 1.213
- 6. y[3] = 0.9375
Full step-by-step solutions: practise this topic on examproblems.com.