Convolution of discrete signals using convolution sum I want to perform the convolution of the following discrete signals: $$h[n]=u[n-2] $$ and $$x[n] = (0.5)^nu[n+2]$$.
That's what I've done so far: $$\sum_{k=-\infty}^{\infty} (0.5)^ku[k+2]*u[n-2-k]$$
So: $$\sum_{k=0}^{\infty} (0.5)^ku[k+2]*u[n-2-k]$$
I know that the upper limit does not go to infinity, however, I cannot determine the correct upper limit. Any thoughts?
Well, you know that $u[n]=0$ for all $n&lt;0$. So from the two terms in your sum, all terms will be zero where either $k+2 &lt; 0$ (i.e., $k &lt; -2$) or $n-2-k&lt;0$ (i.e., $k&gt;n-2$). From this your sum will need to run from $-2$ to $n-2$. Can you take it from here?