1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Complex-valued Adaptive System Identification via Low-Rank Tensor Decomposition
Oliver Ploder, Christina Auer, Oliver Lang +2
Machine learning (ML) and tensor-based methods have been of significant interest for the scientific community for the last few decades. In a previous work we presented a novel tens…
math.ST2023
Enhanced Nonlinear System Identification by Interpolating Low-Rank Tensors
Christina Auer, Thomas Paireder, Oliver Ploder +2
Function approximation from input and output data is one of the most investigated problems in signal processing. This problem has been tackled with various signal processing and ma…
eess.SP2020★ 1 cited
Fast approximate reciprocal approximations for iterative algorithms
Michael Lunglmayr, Oliver Ploder
The reciprocal function, 1/x, is important for many real-time algorithms. It is used in a large variety of algorithms from areas ranging from iterative estimation to machine learni…