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Discrete System in Time Domain

We previously defined convolution for discrete signals as,

x[n]y[n]=m=+x[m]y[nm]x[n] \ast y[n] = \sum_{m=-\infty}^{+\infty} x[m] y[n - m]

We previous learned that,

x(t)=x(t)δ(t)x(t) = x(t) \ast \delta(t)

Similarly, it's obvious,

x[n]=x[n]δ[n]x[n] = x[n] \ast \delta[n]

For LTI system, we still have response of unit impulse,

h[n]=S(δ[n])h[n] = \mathcal{S}(\delta[n])

And, because of linearity,

y[n]=h[n]x[n]y[n] = h[n] \ast x[n]