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LTI Systems and Convolution

Linear time-invariant systems are fully described by their impulse response; the output is the input convolved with it.

Intermediate
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A system is linear (superposition holds) and time-invariant (a delayed input gives a delayed output). For LTI systems, knowing the impulse response h(t)h(t) tells you everything:

y(t)=x(t)∗h(t)=∫−∞∞x(τ) h(t−τ) dτy(t) = x(t) * h(t) = \int_{-\infty}^{\infty} x(\tau)\, h(t - \tau)\, d\tau

Discrete form: y[n]=∑kx[k] h[n−k]y[n] = \sum_k x[k]\, h[n-k].

Convolution in time becomes multiplication in frequency: Y(f)=X(f)H(f)Y(f) = X(f)H(f) — which is why engineers so often work in the frequency domain.

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