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![]() | Adaptive multiple subtraction using regularized nonstationary regression | ![]() |
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In this section, I apply regularized nonstationary regression to the problem of adaptive subtraction and evaluate its performance using benchmark synthetic tests.
One possible variation of non-stationary regression applied to
adaptive subtraction is an introduction of the signal prediction
filter (Spitz, 1999). The signal prediction applies to
the residual error in equation 2, thus
modifying the objective function (Guitton, 2005).