3 citations · 3 across the 3 of their papers we have counts for
5 papers
Compressed BC-LISTA via Low-Rank Convolutional Decomposition
Han Wang, Yhonatan Kvich, Eduardo Pérez +2
We study Sparse Signal Recovery (SSR) methods for multichannel imaging with compressed {forward and backward} operators that preserve reconstruction accuracy. We propose a Compress…
Learning Structured Compressed Sensing with Automatic Resource Allocation
Han Wang, Eduardo Pérez, Iris A. M. Huijben +3
Multidimensional data acquisition often requires extensive time and poses significant challenges for hardware and software regarding data storage and processing. Rather than design…
Integrating AI in NDE: Techniques, Trends, and Further Directions
Eduardo Pérez, Cemil Emre Ardic, Ozan Çakıroğlu +9
The digital transformation is fundamentally changing our industries, affecting planning, execution as well as monitoring of production processes in a wide range of application fiel…
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…