Compressed and Deep Sensing: Models, Structures, and Tasks

Project Information

CoDeS

Grant agreement ID: 101000967

DOI 10.3030/101000967

EC signature date 30 April 2021

Start date 1 July 2021

End date 30 June 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 3 000 000,00

EU contribution € 3 000 000,00

Coordinated by

WEIZMANN INSTITUTE OF SCIENCE
Israel

Periodic Reporting for period 2 - CoDeS (Compressed and Deep Sensing: Models, Structures, and Tasks)

Reporting period: 2023-01-01 to 2024-06-30

Summary of the context and overall objectives of the project

In this project we are exploring how we can build systems that are far more efficient than those existing today by designing them in an end-to-end holistic fashion. Throughout their design we take into account ay structure in the input or system, and we also consider the final system task. We have been exploring ways in which this approach can make various types of systems more efficient including communication systems, radar, medical devices and more. In all of these areas we consider the basic question: Can we measure only what is necessary to perform our desired system task by jointly optimizing the entire signal acquisition and processing chain?

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

In our work so far we have been developing fundamental trade-offs between sampling rate, quantization resolution, and task fidelity. We have also developed new results on the bounds of model-based deep learning that takes models into account within the learning process.
On the engineering side we have developed several new ADC devise based on this principle like modulo-based sampling that can accommodate high dynamic range, and time-based sampling that allows removing the system clock all together. On the application side we have been considering 6G networks, joint sensing and communication systems, efficient vital sign monitoring, ECG monitoring and more.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

On the engineering side we have developed several new ADC devise based on this principle like modulo-based sampling that can accommodate high dynamic range, and time-based sampling that allows removing the system clock all together. On the application side we have been considering 6G networks, joint sensing and communication systems, efficient vital sign monitoring, ECG monitoring and more.