Documentation Center    • Trials   • Product Updates  Adaptive
Noise Canceling (ANC) Applied to Fetal Electrocardiography  This
example shows how to apply adaptive filters to noise removal
using adaptive noise canceling. The example uses a user
interface (UI) which can be launched by typing the command
HelperAdaptiveNoiseCancellation. For more details, see 'Example
Architecture' below.   In adaptive noise canceling, a measured
signal d(n) contains two signals: - an unknown signal of
interest v(n) - an interference signal u(n) The goal is to
remove the interference signal from the measured signal by using
a reference signal x(n) that is highly correlated with the
interference signal. The example considered here is an
application of adaptive filters to fetal electrocardiography, in
which a maternal heartbeat signal is adaptively removed from a
fetal heartbeat sensor signal. This example is adapted from
Widrow, et al, "Adaptive noise canceling: Principles and
applications," Proc. IEEE®, vol. 63, no. 12, pp. 1692