4 papers
Efficient Convolutional Forward Modeling and Sparse Coding in Multichannel Imaging
Han Wang, Yhonatan Kvich, Eduardo Pérez +2
This study considers the Block-Toeplitz structural properties inherent in traditional multichannel forward model matrices, using Full Matrix Capture (FMC) in ultrasonic testing as…
Jointly Learning Selection Matrices For Transmitters, Receivers And Fourier Coefficients In Multichannel Imaging
Han Wang, Yiming Zhou, Eduardo Perez +1
Strategic subsampling has become a focal point due to its effectiveness in compressing data, particularly in the Full Matrix Capture (FMC) approach in ultrasonic imaging. This pape…
Sparsity Order Estimation from a Single Compressed Observation Vector
Sebastian Semper, Florian Römer, Thomas Hotz +1
We investigate the problem of estimating the unknown degree of sparsity from compressive measurements without the need to carry out a sparse recovery step. While the sparsity order…
On the SNR Variability in Noisy Compressed Sensing
Anastasia Lavrenko, Florian Roemer, Giovanni Del Galdo +1
Compressed sensing (CS) is a sampling paradigm that allows to simultaneously measure and compress signals that are sparse or compressible in some domain. The choice of a sensing ma…