… , a least mean square (LMS) filter is used for a dual prediction scheme (DPS), in this paper.
… GW to predict the data simultaneously. Only when the error between the predicted data and …

… of HLMS that adapts LMS prediction scheme. HFLMS filter modifies HLMS by the integration
… Moreover, the energy constraint issue can be solved with the utilization of HFLMS prediction …

… the prediction is not accurate enough. In some scenarios, it is often feasible to perform the …
prediction under the enough accuracy of the prediction model. Some data prediction schemes …

… tap LMS adaptive filter with input uk. The behavior of the associated scalar prediction error
… intuitively reasonable scheme: apply leakage only in the subspaces where drift can occur. …

… of adaptive filter based on the LMS algorithm. An adaptive filter of the closed-loop system
is introduced, including the elimination of interference signal, the prediction of useful signal, …

… scheme consists of two LMS and RBF adaptive filter for … error in LMS filter occurred at
position that RBF prediction error is … both filter and obtain minimum error in final algorithm. …

… If the predictor were fixed, the canceler transient behavior would be that of a classical
identification scheme with input signal zf and updated with a simple LMS algorithm. However, the …

… frames are optimally predicted by using a set of … prediction scheme, but the set of pixels
for adaptation can be chosen from any number of frames involved in a longer term prediction. …

… While the original fractal coding schemes constructed this transform as the composition of …
, given some restrictions on the fractal coding scheme, to mappings between subtrees of detail …

… We refer to this adaptation scheme as estimation-based adaptive filtering (EBAF). We
show … the filtering/prediction results we have derived reduce to the simple normalized-LMS/LMS …