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Reconstructing non-point sources of diffusion fields using sensor measurements.

, and . ICASSP, page 4004-4008. IEEE, (2016)

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Solving physics-driven inverse problems via structured least squares., and . EUSIPCO, page 331-335. IEEE, (2016)Consensus for the distributed estimation of point diffusion sources in sensor networks., and . ICASSP, page 3262-3266. IEEE, (2015)A Universal Sampling Framework for Solving Physics-driven Inverse Source Problems., and . CoRR, (2017)Solving inverse source problems for linear PDEs using sparse sensor measurements., and . ACSSC, page 517-521. IEEE, (2016)Reconstructing non-point sources of diffusion fields using sensor measurements., and . ICASSP, page 4004-4008. IEEE, (2016)Corner Occluder Computational Periscopy: Estimating a Hidden Scene from a Single Photograph., , , , , , and . ICCP, page 1-9. IEEE, (2019)Optimal Stopping Times for Estimating Bernoulli Parameters with Applications to Active Imaging., , and . ICASSP, page 4429-4433. IEEE, (2018)Towards 3D Computational Persicopy with an Ordinary Camera: a Separable Non-Linear Least Squares Formulation., and . ICASSP, page 7475-7479. IEEE, (2024)Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations., , , , , , , , and . ICIP, page 2858-2862. IEEE, (2021)Solving Inverse Source Problems for Sources with Arbitrary Shapes using Sensor Networks., and . ESANN, (2017)