FIR Filters
Take a weighted
average of nearby
samples
Discrete Convolution
The weights are called
the kernel
Choice of kernel
determines function
of filter
o(t) = k
0
*i(t-1)+k
1
*i(t)+k
2
*i(t+1)
in
1
2
3
4
5
6
7
out
1
2
3
4
5
6
7
o(5) = k
0
*i(4)+k
1
*i(5)+k
2
*i(6)