activity
20182022
most citedCausal Fourier Analysis on Directed Acyclic Graphs and Posets

27 citations · 103 across the 9 of their papers we have counts for

collaborators
Showing eess.SPShow all

5 papers · 1 filter

eess.SP2022★ 27 cited

Causal Fourier Analysis on Directed Acyclic Graphs and Posets

Bastian Seifert, Chris Wendler, Markus Püschel

We present a novel form of Fourier analysis, and associated signal processing concepts, for signals (or data) indexed by edge-weighted directed acyclic graphs (DAGs). This means th…

eess.SP2020★ 25 cited

Digraph Signal Processing with Generalized Boundary Conditions

Bastian Seifert, Markus Püschel

Signal processing on directed graphs (digraphs) is problematic, since the graph shift, and thus associated filters, are in general not diagonalizable. Furthermore, the Fourier tran…

eess.SP2019★ 12 cited

Dynamical Component Analysis (DyCA) and its application on epileptic EEG

Katharina Korn, Bastian Seifert, Christian Uhl

Dynamical Component Analysis (DyCA) is a recently-proposed method to detect projection vectors to reduce the dimensionality of multi-variate deterministic datasets. It is based on…

eess.SP2018★ 1 cited

Fast cosine transform for FCC lattices

Bastian Seifert, Knut Hüper, Christian Uhl

Voxel representation and processing is an important issue in a broad spectrum of applications. E.g., 3D imaging in biomedical engineering applications, video game development and v…

eess.SP2018★ 22 cited

Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series

Bastian Seifert, Katharina Korn, Steffen Hartmann +1

Multivariate signal processing is often based on dimensionality reduction techniques. We propose a new method, Dynamical Component Analysis (DyCA), leading to a classification of t…