We investigate the optimization of multilayer perceptrons on symmetric d...
The bi-sparse blind deconvolution problem is studied – that is, from the...
Equivariance of linear neural network layers is well studied. In this wo...
Compressive Sensing has well boosted massive random access protocols ove...
We characterize the class of image plane transformations which realize r...
In this paper, we are concerned with rotation equivariance on 2D point c...
The blind deconvolution problem amounts to reconstructing both a signal ...
It is well known that CS can boost massive random access protocols. Usua...
A new family of operators, coined hierarchical measurement operators, is...
Compressed sensing is a paradigm within signal processing that provides ...
A new class of measurement operators for structured compressed sensing
p...
The problem of excessive pilot overhead required for uplink massive MIMO...
The problem of wideband massive MIMO channel estimation is considered.
T...