qFourier transform is an example of multiple regression. In this case,
the independent
(predictor) variables are:
q
q
qThese independent variables are
orthogonal to each other. That means:
q
q
q Therefore, all the off-diagonal terms are zero in the
following matrix:
q
q
q
q
q
qWe can easily get: