ERC Consolidator Grant · 2020
Compressed and Deep Sensing: Models, Structures, and Tasks
The sophisticated electronic devices ubiquitous today are largely enabled by conversion of analog signals to digital through digital signal processing (DSP). DSP is also the enabler behind the deep learning revolution, which led to systems with unprecedented performance. However, DSP comes at a cost. Internet traffic has exceeded Zettabytes. The conventional approach to DSP and machine learning is to acquire all data possible and build systems that are capable of massive training and parallel processing in order to extract the relevant information out of huge data sets. Acquiring, storing, processing and communicating pervasive massive datasets generated at an ever-increasing speed requires…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.