Prediction-error filter estimation on irregular traces

William Curry

bill@sep.stanford.edu

ABSTRACT

Regularly-sampled data is normally required to estimate a prediction-error filter (PEF). I show how a small PEF can be estimated when the data is irregularly sampled in one dimension. I then estimate a PEF on an irregularly-sampled 2D examples, and discuss extension to 3D.