Hilbert space frames have long served as a valuable tool for signal and image processing due to t...

A detailed presentation of compressed sensing by leading researchers, covering the most significa...

Since publication of the initial papers in 2006, compressed sensing has captured the imagination ...

In wavelet analysis, irregular wavelet frames have recently come to the forefront of current rese...

Since publication of the initial papers in 2006, compressed sensing has captured the imagination ...

This contributed volume contains articles written by the plenary and invited speakers from the se...

Over the last 20 years, multiscale methods and wavelets have revolutionized the field of applied ...

The chapters in this volume highlight the state-of-the-art of compressed sensing and are based on...

This contributed volume contains articles written by the plenary and invited speakers from the se...

This contributed volume showcases the most significant results obtained from the DFG Priority Pro...

This contributed volume showcases the most significant results obtained from the DFG Priority Pro...

The development of a theoretical foundation for deep learning methods constitutes one of the most...