  We demonstrate feed-forward vibration isolation on a suspended Fabry-Perot
interferometer using Wiener filtering and a variant of the common Least Mean
Square (LMS) adaptive filter algorithm. We compare the experimental results
with theoretical estimates of the cancellation efficiency. Using data from the
recent LIGO Science Run, we also estimate the impact of this technique on full
scale gravitational wave interferometers. In the future, we expect to use this
technique to also remove acoustic, magnetic, and gravitational noise
perturbations from the LIGO interferometers. This noise cancellation technique
is simple enough to implement in standard laboratory environments and can be
used to improve SNR for a variety of high precision experiments.
