69 citations · 135 across the 7 of their papers we have counts for
8 papers · 1 filter
SICNN: Soft Interference Cancellation Inspired Neural Network Equalizers
Stefan Baumgartner, Oliver Lang, Mario Huemer
In recent years data-driven machine learning approaches have been extensively studied to replace or enhance traditionally model-based processing in digital communication systems. I…
Analysis and Compensation of Carrier Frequency Offset Impairments in Unique Word OFDM
Christian Hofbauer, Werner Haselmayr, Hans-Peter Bernhard +1
Unique Word-orthogonal frequency division multiplexing (UW-OFDM) is known to provide various performance benefits over conventional cyclic prefix (CP) based OFDM. Most important, U…
Diagnostic Quality Assessment for Low-Dimensional ECG Representations
Péter Kovács, Carl Böck, Thomas Tschoellitsch +2
There have been several attempts to quantify the diagnostic distortion caused by algorithms that perform low-dimensional electrocardiogram (ECG) representation. However, there is n…
ECG Beat Representation and Delineation by means of Variable Projection
Carl Böck, Péter Kovács, Pablo Laguna +2
The electrocardiogram (ECG) follows a characteristic shape, which has led to the development of several mathematical models for extracting clinically important information. Our mai…
Efficient Majority Voting in Digital Hardware
Stefan Baumgartner, Mario Huemer, Michael Lunglmayr
In recent years, machine learning methods became increasingly important for a manifold number of applications. However, they often suffer from high computational requirements impai…
On the Inclusion and Utilization of Pilot Tones in Unique Word OFDM
Christian Hofbauer, Werner Haselmayr, Hans-Peter Bernhard +1
Unique word-orthogonal frequency division multiplexing (UW-OFDM) is known to provide various performance benefits over conventional OFDM using cyclic prefixes (CP). Most important,…