I have a general question regarding Least mean squares adaptive filters.
Using the example of noise cancellation, I understand that if you have a set of reference signals (S) and corrupted signals (S+N) then you can perform minimisation of the error to find the optimal weights for the set of inputs.
I am wondering if this is normally performed 'offline' or if this can be performed on the fly with the weights changing over time?