Equalization is an important task at the receiver side of a digital wire...
Machine learning (ML) and tensor-based methods have been of significant
...
A promising waveform candidate for future joint sensing and communicatio...
Function approximation from input and output data is one of the most
inv...
Data estimation is conducted with model-based estimation methods since t...
In recent years, machine learning methods became increasingly important ...
In this paper, we introduce VPNet, a novel model-driven neural network
a...
The least squares (LS) estimator and the best linear unbiased estimator
...