Nonlinear projective filtering in a data stream

Thomas Schreiber; Marcus Richter

doi:10.1142/s0218127499001474

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arXiv · chao-dyn/9803008

Nonlinear projective filtering in a data stream

Thomas Schreiber·Marcus Richter

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Abstract

We introduce a modified algorithm to perform nonlinear filtering of a time series by locally linear phase space projections. Unlike previous implementations, the algorithm can be used not only for a posteriori processing but includes the possibility to perform real time filtering in a data stream. The data base that represents the phase space structure generated by the data is updated dynamically. This also allows filtering of non-stationary signals and dynamic parameter adjustment. We discuss exemplary applications, including the real time extraction of the fetal electrocardiogram from abdominal recordings.

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BibTeX RIS

Thomas Schreiber, Marcus Richter. 1998-03-05. Nonlinear projective filtering in a data stream. https://doi.org/10.1142/s0218127499001474

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