… sparsity characteristics using an MIMO orthogonal matching pursuit algorithm (MIMO-OMP) …
is considered as a sparse channel, a feature used by the iterative orthogonal matching 70 …

… The sparsity of the channel matrix in massive MIMO is … in a single-cell massive MIMO
system. The authors investigate the … they appear in bursts. In other words, in the case of EVD, a …

… burst structured sparsity for massive MIMO channel estimation. In [4] it separates the channel
vector into a dense vector and a sparse … while applying CS to estimate the sparse vector. …

… (AMP) [6], burst-LASSO [7] and OMP-US [8] have been proposed for CE exploiting different
… ages the partial common sparsity of the massive MIMO channels to significantly reduce the …

… As such, the currently deployed mobile networks are unlikely to support the explosion of
the data traffic [2], and thus, new technologies become crucial. The massive multiple-input …

This article proposes an innovative scheme for recovering sparse reflectivity series from
uniformly quantized seismic signals. In this scheme, the statistically less affected impulses by the …

… is changed for each pulse in a burst (hence the name slow-time coding). We demonstrate
by means of simulations that by combining this waveform with Sparse Signal Processing (SSP) …

… -SOMP [11] capable of extracting the normal sparsity along the delay dimension, burst
sparsity along the angle dimension, and block sparsity along the Doppler dimension. As can be …

… large-scale datasets and (ii) it completely ignores the burst-sparsity structure of the sparse
… In this paper, we present a new fast burst-sparsity learning method for baseline correction to …

… We additionally note that the block-sparse signal generation … block-sparse signals do not
have excessively large amplitude … in PC-SBL and Burst Sparsity Learning biases the algorithms …