You can use a wiener filter if you know the signal statistics and use it as a n-step ahead predictor. Your decision of trend can then easily be based on the prediction of the wiener filter. If the signal is not wide-sense stationary and you think that prediction cannot be done linearly (a nonlinear/ nonstationary process) then you can use an adaptive wiener filter like the LMS filter.
