I have selected my problem for the project as follows. In a car we have
the audio system. There will be some noise coming from the engine when we
try to play a song. We can use an adaptive filter in order to reduce the
noise. The system configuration is shown in the figure 1.
In the figure S(k) is the speech signal, n(k) is the noise signal which
is coming from the engine vibrations, n'(k) is the reference signal that
is being used to reduce the noise, Sys(k),
is the primary input to the filter that is the corrupt signal, H(z) is the
transfer function of the adaptive filter, Y(k), is the output of the
adaptive filter and c(k) is the output signal i.e., is the difference of
the corrupt signal and the output of the adaptive filter. The refernce
input i.e., n'(k) is in someway correlated with the noise and is
uncorrelated with the original signal. If these conditions are violated,
the adaptive filter may cancel the signal, s(k) in place of (or in
additon to) the noise or could fail to cancel the noise. It can be proved
that n(k) and n'(k) are correlated but n'(k) and s(k) are uncorrelated
from the derivation given in appendix [1].