@inproceedings{5423e0085899482687bd481be8bef7e2,
title = "Projective Filtering with Adaptive Selected Projective Dimensions",
abstract = "In this paper we propose a modification of the clustering based nonlinear state–space projection (CNPF) method. The whole filtering process takes place in a reconstructed state–space by applying the time–delay embedding technique. Then, each state-space point is projected on the constructed signal subspace. The subspace has a constant dimension and is the same for all constructed subspaces. A modification is introduced in such a way that subspace dimension may differ depending on the currently processed part of the signal. For this purpose we introduced a concept of signal{\textquoteright}s eigenportrait. The proposed method is applied to process different ECG signals contaminated with a real electromyographic (EMG) noise. As the reference, the CNPF method is used. For different noise levels, the proposed method appears more effective than the reference one.",
keywords = "Data clustering, Nonlinear filtering, Principal component analysis",
author = "Tomasz Przyby{\l}a and Tomasz Pander",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 15th National Conference of Operational and Systems Research, BOS 2018 and 17th International Workshop on Intuitionistic Fuzzy Sets and General Nets, IWIFSGN 2018 ; Conference date: 27-09-2018 Through 28-09-2018",
year = "2021",
doi = "10.1007/978-3-030-47024-1\_26",
language = "English",
isbn = "9783030470234",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "251--261",
editor = "Atanassov, \{Krassimir T.\} and Vassia Atanassova and Janusz Kacprzyk and Andrzej Kaluszko and Owsinski, \{Jan W.\} and Eulalia Szmidt and Slawomir Zadrozny and Maciej Krawczak and Sotir Sotirov and Evdokia Sotirova",
booktitle = "Uncertainty and Imprecision in Decision Making and Decision Support",
address = "Germany",
}