arXiv (All)
open access
One-Bin Fourier Challenges for Dimension-Free Reconstruction Certification
Partial-Fourier measurement underlies computational imaging, and its reconstructions increasingly come from iterative or learned solvers whose recovery guarantees are conditional on a signal model, a sampling law, and solver accuracy. None of those guarantees transfers to a particular committed outp
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Algorithm for extracting multiple object waves without Fourier transform from a single image recorded by spatial frequency-division multiplexing and its application to digital holography#614702
- Physics-Guided Conditional Flow Matching with Energy Regularization for Robust PDE Inverse Problems#1109534
- DynGhost: Temporally-Modelled Transformer for Dynamic Ghost Imagings#1156349
- A global approach for the inverse scattering problem using a Carleman contraction map#1110052
- Adversarial Robustness of Near-Field Millimeter-Wave Imaging under Waveform-Domain Attacks#128208
Record · ID 1051512
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive