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Solving physics-driven inverse problems via structured least squares.

, and . EUSIPCO, page 331-335. 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)Reconstructing non-point sources of diffusion fields using sensor measurements., and . ICASSP, page 4004-4008. IEEE, (2016)Solving inverse source problems for linear PDEs using sparse sensor measurements., and . ACSSC, page 517-521. 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)Spatio-temporal sampling and reconstruction of diffusion fields induced by point sources., and . ICASSP, page 31-35. IEEE, (2014)A Sampling Framework for Solving Physics-Driven Inverse Source Problems., and . IEEE Trans. Signal Process., 65 (24): 6365-6380 (2017)Double Your Corners, Double Your Fun: The Doorway Camera., , , , , , and . ICCP, page 1-12. IEEE, (2022)