Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Bastian Seifert"'
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 1, Pp 230-241 (2020)
The decomposition of a multivariate signal is an important tool for the analysis of measured or simulated data leading to possible detection of the relevant subspace or the sources of the signal. A new method - dynamical component analysis (DyCA) - i
Externí odkaz:
https://doaj.org/article/17998eb1caed4ef8896cfc19b9808b37
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 4 (2018)
Dynamical Systems Based Modeling (DSBM) is a method to decompose a multivariate signal leading to both a dimensionality reduction and parameter estimation describing the dynamics of the signal. We present this method and its application to EEG data s
Externí odkaz:
https://doaj.org/article/260db87148a549a1a78daf07808a8e4e
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::626816dd68d93606dfbc161ab4085fc5
https://doi.org/10.23919/eusipco55093.2022.9909595
https://doi.org/10.23919/eusipco55093.2022.9909595
Publikováno v:
IEEE Transactions on Signal Processing. 69:3571-3584
A lattice is a partially ordered set supporting a meet (or join) operation that returns the largest lower bound (smallest upper bound) of two elements. Just like graphs, lattices are a fundamental structure that occurs across domains including social
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30c36abedd6045414ed1f905a1bf94a6
https://doi.org/10.1109/tsp.2021.3081036
https://doi.org/10.1109/tsp.2021.3081036
Publikováno v:
ICASSP
Recent work introduced a framework for signal processing (SP) on meet/join lattices. Such a lattice is partially ordered and supports a meet (or join) operation that returns the greatest lower bound and the smallest upper bound of two elements, respe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a7caea1e206e408c494ffd428f841d1
https://doi.org/10.1109/icassp39728.2021.9415055
https://doi.org/10.1109/icassp39728.2021.9415055
Autor:
Carsten Oliver, Schmidt, Johannes, Darms, Aliaksandra, Shutsko, Matthias, Löbe, Rajini, Nagrani, Bastian, Seifert, Birte, Lindstädt, Martin, Golebiewski, Sofiya, Koleva, Theresa, Bender, Christian Robert, Bauer, Ulrich, Sax, Xiaoming, Hu, Michael, Lieser, Vivien, Junker, Sophie, Klopfenstein, Atinkut, Zeleke, Dagmar, Waltemath, Iris, Pigeot, Juliane, Fluck
Publikováno v:
Studies in health technology and informatics. 281
COVID-19 poses a major challenge to individuals and societies around the world. Yet, it is difficult to obtain a good overview of studies across different medical fields of research such as clinical trials, epidemiology, and public health. Here, we d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::9c7e7356818d04785fb30d7645ab8771
https://pubmed.ncbi.nlm.nih.gov/34042687
https://pubmed.ncbi.nlm.nih.gov/34042687
Autor:
Christian R. Bauer, Dagmar Waltemath, Atinkut Alamirrew Zeleke, Vivien Junker, Iris Pigeot, Bastian Seifert, Aliaksandra Shutsko, Ulrich Sax, Rajini Nagrani, Matthias Löbe, Johannes Darms, Martin Golebiewski, Theresa Bender, Carsten Oliver Schmidt, Juliane Fluck, Xiaoming Hu, Birte Lindstädt, Michael Lieser, Sophie Anne Ines Klopfenstein, Sofiya Koleva
Publikováno v:
MIE
COVID-19 poses a major challenge to individuals and societies around the world. Yet, it is difficult to obtain a good overview of studies across different medical fields of research such as clinical trials, epidemiology, and public health. Here, we d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94afebf4188d296763b18f9e70e8a0f9
https://doi.org/10.3233/shti210284
https://doi.org/10.3233/shti210284
Autor:
Markus Püschel, Bastian Seifert
Signal processing on directed graphs (digraphs) is problematic, since the graph shift, and thus associated filters, are in general not diagonalizable. Furthermore, the Fourier transform in this case is now obtained from the Jordan decomposition, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f053de2e3927278b74060e55a59e7519
Many applications of machine learning on discrete domains, such as learning preference functions in recommender systems or auctions, can be reduced to estimating a set function that is sparse in the Fourier domain. In this work, we present a new fami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73358a713e071251d29559b92db2b7e4
Determinism Testing of Low-Dimensional Signals Embedded in High-Dimensional Multivariate Time Series
Publikováno v:
Chaos and Complex Systems ISBN: 9783030354404
High-dimensional multivariate time series often consist of a low-dimensional deterministic part. To extract this contribution it is crucial to reduce the dimension of the signal using a dimensionality reduction method. There are three possible approa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::739bced008b3ebb221ba655a78139e4d
https://doi.org/10.1007/978-3-030-35441-1_1
https://doi.org/10.1007/978-3-030-35441-1_1