Discrete Convolution
Authors: William Gross & David
Fanelli
The linear convolution y(n) of two discrete input
sequences x(n) and h(n) is defined as the summation over
k of x(k)*h(n-k). The relationship between input and output
is most easily seen graphically.
For example, in the plot below, drag the x function
in the Top Window and notice the relationship
of its output.
The input functions above are fixed; x is a rectangular
window and h is an exponential. If you would like to vary these
functions, push the button below. You will be able to vary the functions
and the order of their convolution.
For some more examples, click here:
Send comments to Dr. John Glover at glover@uh.edu
.