Project description
Optimising computational sensing and imaging with folding non-linearities
Computational sensing systems have a wide range of applications in fields such as audio and acoustics, biomedical and healthcare monitoring, as well as computational imaging. Yet, many digital sensing systems rely on dated analogue-to-digital converters that create bottlenecks, including quantisation noise and clipping issues. The challenge is how to maintain low power consumption (LPC) while picking up high-dynamic-range (HDR) signals at high digital resolution (HDRes). To address this, the ERC-funded CoSI-Fold project proposes a novel methodology that supports HDR and HDRes capabilities with LPC. It will combine novel hardware with innovative theory and mathematical algorithms. The analogue-domain folding of HDR inputs will eliminate bottlenecks, and then mathematically based algorithms will computationally unfold the samples.
Objective
"By leveraging a radically new digital sensing approach, the CoSI-Fold program strives to achieve a quantitative breakthrough in performance while unlocking qualitatively new and previously unthinkable applications.
The emerging field of computational sensing has opened up new horizons, such as the imaging of the Black Hole. However, mainstream digital sensing still relies on decades-old ideas from Claude Shannon's seminal 1948 paper, which laid the foundations of sampling theory and catalyzed the ""Digital Revolution."" Despite immense progress, capturing high-dynamic-range (HDR) signals at high digital resolution (HDRes) while maintaining low power consumption (LPC) remains a significant challenge. Implementing Shannon's method via analog-to-digital converters (ADCs) introduces fundamental bottlenecks, including quantization noise and saturation due to limited dynamic range (LDR). These limitations are conspicuously evident in cases like the 1986 Chernobyl Accident, where excessively HDR radiation went unrecorded due to LDR dosimeters, resulting in loss of lives. Bottlenecks in current digital pipelines clearly necessitate a paradigm shift.
The CoSI-Fold program capitalizes on an alternative methodology that simultaneously unlocks HDR and HDRes capabilities with LPC. CoSI-Fold harnesses a synergistic melding of novel hardware and mathematical algorithms, representing the core principle of computational sensing. The analog-domain folding of HDR inputs eliminates the well-known clipping problem while also reducing the quantization noise floor. Mathematically principled algorithms then computationally unfold the LDR folded samples.
The quantum leap brought by CoSI-Fold lies in the comprehensive convergence of theoretical, algorithmic, and hardware innovations it introduces. Our feasibility tests indicate the potential to revolutionize the fields of Audio and Acoustics, Biomedical and Healthcare Monitoring, and Computational Imaging, which are the focus of CoSI-Fold."
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
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HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
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(opens in new window) ERC-2024-STG
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SW7 2AZ London
United Kingdom
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