Conclusion

Prediction error filters are powerful tools for capturing statistical information about the signals. I have implemented nonstationary versions able to adapt to local (multidimensional) changes of the waves. Gradient adaptive lattice and recursive least-squares prediction-error filters have shown to be efficient and fast. However, their stability, parametrization and whitening properties are yet to be investigated.




2018-06-10