Literatura académica sobre el tema "Compressive phase retrieval"
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Artículos de revistas sobre el tema "Compressive phase retrieval"
Li, Yi y Vasileios Nakos. "Sublinear-Time Algorithms for Compressive Phase Retrieval". IEEE Transactions on Information Theory 66, n.º 11 (noviembre de 2020): 7302–10. http://dx.doi.org/10.1109/tit.2020.3020701.
Texto completoZhang, Liang, Gang Wang, Georgios B. Giannakis y Jie Chen. "Compressive Phase Retrieval via Reweighted Amplitude Flow". IEEE Transactions on Signal Processing 66, n.º 19 (1 de octubre de 2018): 5029–40. http://dx.doi.org/10.1109/tsp.2018.2862395.
Texto completoSchniter, Philip y Sundeep Rangan. "Compressive Phase Retrieval via Generalized Approximate Message Passing". IEEE Transactions on Signal Processing 63, n.º 4 (febrero de 2015): 1043–55. http://dx.doi.org/10.1109/tsp.2014.2386294.
Texto completoPeng, Tong, Runze Li, Junwei Min, Dan Dan, Meiling Zhou, Xianghua Yu, Chunmin Zhang, Chen Bai y Baoli Yao. "Quantitative Phase Retrieval Through Scattering Medium via Compressive Sensing". IEEE Photonics Journal 14, n.º 1 (febrero de 2022): 1–8. http://dx.doi.org/10.1109/jphot.2021.3136509.
Texto completoDi, Hong y Xin Zhang. "Compressive image encryption with customized key based on phase retrieval". Optical Engineering 56, n.º 2 (10 de febrero de 2017): 023103. http://dx.doi.org/10.1117/1.oe.56.2.023103.
Texto completoJerez, Andres, Samuel Pinilla y Henry Arguello. "Fast Target Detection via Template Matching in Compressive Phase Retrieval". IEEE Transactions on Computational Imaging 6 (2020): 934–44. http://dx.doi.org/10.1109/tci.2020.2995999.
Texto completoOhlsson, Henrik, Allen Y. Yang, Roy Dong y S. Shankar Sastry. "Compressive Phase Retrieval From Squared Output Measurements Via Semidefinite Programming*". IFAC Proceedings Volumes 45, n.º 16 (julio de 2012): 89–94. http://dx.doi.org/10.3182/20120711-3-be-2027.00415.
Texto completoLi, Yingying, Jinchuan Zhou, Zhongfeng Sun y Jingyong Tang. "Heavy-Ball-Based Hard Thresholding Pursuit for Sparse Phase Retrieval Problems". Mathematics 11, n.º 12 (16 de junio de 2023): 2744. http://dx.doi.org/10.3390/math11122744.
Texto completoPedarsani, Ramtin, Dong Yin, Kangwook Lee y Kannan Ramchandran. "PhaseCode: Fast and Efficient Compressive Phase Retrieval Based on Sparse-Graph Codes". IEEE Transactions on Information Theory 63, n.º 6 (junio de 2017): 3663–91. http://dx.doi.org/10.1109/tit.2017.2693287.
Texto completoHu, Chen, Xiaodong Wang, Linglong Dai y Junjie Ma. "Partially Coherent Compressive Phase Retrieval for Millimeter-Wave Massive MIMO Channel Estimation". IEEE Transactions on Signal Processing 68 (2020): 1673–87. http://dx.doi.org/10.1109/tsp.2020.2975914.
Texto completoTesis sobre el tema "Compressive phase retrieval"
Tian, Lei Ph D. Massachusetts Institute of Technology. "Compressive phase retrieval". Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81756.
Texto completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (p. 129-138).
Recovering a full description of a wave from limited intensity measurements remains a central problem in optics. Optical waves oscillate too fast for detectors to measure anything but time{averaged intensities. This is unfortunate since the phase can reveal important information about the object. When the light is partially coherent, a complete description of the phase requires knowledge about the statistical correlations for each pair of points in space. Recovery of the correlation function is a much more challenging problem since the number of pairs grows much more rapidly than the number of points. In this thesis, quantitative phase imaging techniques that works for partially coherent illuminations are investigated. In order to recover the phase information with few measurements, the sparsity in each underly problem and ecient inversion methods are explored under the framework of compressed sensing. In each phase retrieval technique under study, diffraction during spatial propagation is exploited as an effective and convenient mechanism to uniformly distribute the information about the unknown signal into the measurement space. Holography is useful to record the scattered field from a sparse distribution of particles; the ability of localizing each particles using compressive reconstruction method is studied. When a thin sample is illuminated with partially coherent waves, the transport of intensity phase retrieval method is shown to be eective to recover the optical path length of the sample and remove the eect of the illumination. This technique is particularly suitable for X-ray phase imaging since it does not require a coherent source or any optical components. Compressive tomographic reconstruction, which makes full use of the priors that the sample consists of piecewise constant refractive indices, are demonstrated to make up missing data. The third technique, known as the phase space tomography (PST), addresses the correlation function recovery problem. Implementing the PST involves measuring many intensity images under spatial propagation. Experimental demonstration of a compressive reconstruction method, which finds the sparse solution by decomposing the correlation function into a few mutually uncorrelated coherent modes, is presented to produce accurate reconstruction even when the measurement suers from the 'missing cone' problem in the Fourier domain.
by Lei Tian.
Ph.D.
Saqueb, Syed An Nazmus. "Computational THz Imaging: High-resolution THz Imaging via Compressive Sensing and Phase-retrieval Algorithms". The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1545836443000865.
Texto completoKilledar, Vinayak. "Solving Inverse Problems Using a Deep Generative Prior". Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5234.
Texto completoCapítulos de libros sobre el tema "Compressive phase retrieval"
"Phase Retrieval". En Optical Compressive Imaging, 261–96. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.4324/9781315371474-14.
Texto completoAvirappattu, George. "On Efficient Acquisition and Recovery Methods for Certain Types of Big Data". En Big Data, 105–15. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9840-6.ch006.
Texto completoAvirappattu, George. "On Efficient Acquisition and Recovery Methods for Certain Types of Big Data". En Advances in Public Policy and Administration, 137–47. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9649-5.ch008.
Texto completoActas de conferencias sobre el tema "Compressive phase retrieval"
Barbastathis, George, Justin W. Lee, Lei Tian y Se Baek Oh. "Compressive Phase Retrieval". En Computational Optical Sensing and Imaging. Washington, D.C.: OSA, 2011. http://dx.doi.org/10.1364/cosi.2011.cmc1.
Texto completoMoravec, Matthew L., Justin K. Romberg y Richard G. Baraniuk. "Compressive phase retrieval". En Optical Engineering + Applications, editado por Dimitri Van De Ville, Vivek K. Goyal y Manos Papadakis. SPIE, 2007. http://dx.doi.org/10.1117/12.736360.
Texto completoBarbastathis, George. "Compressive Phase Retrieval". En Digital Holography and Three-Dimensional Imaging. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/dh.2015.dt1a.1.
Texto completoViswanathan, Aditya y Mark Iwen. "Fast compressive phase retrieval". En 2015 49th Asilomar Conference on Signals, Systems and Computers. IEEE, 2015. http://dx.doi.org/10.1109/acssc.2015.7421436.
Texto completoGao, Yunhui y Liangcai Cao. "High-throughput quantitative phase imaging via compressive phase retrieval". En Quantitative Phase Imaging IX, editado por YongKeun Park y Yang Liu. SPIE, 2023. http://dx.doi.org/10.1117/12.2655445.
Texto completoBakhshizadeh, Milad, Arian Maleki y Shirin Jalali. "Compressive Phase Retrieval of Structured Signals". En 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 2018. http://dx.doi.org/10.1109/isit.2018.8437687.
Texto completoTalegaonkar, Chinmay, Parthasarathi Khirwadkar y Ajit Rajwade. "Compressive Phase Retrieval under Poisson Noise". En 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. http://dx.doi.org/10.1109/icip.2019.8803017.
Texto completoBodmann, Bernhard G. y Nathaniel Hammen. "Error bounds for noisy compressive phase retrieval". En 2015 International Conference on Sampling Theory and Applications (SampTA). IEEE, 2015. http://dx.doi.org/10.1109/sampta.2015.7148909.
Texto completoDon, Michael y Gonzalo Arce. "Antenna Pattern Measurement with Compressive Phase Retrieval". En 2020 IEEE Radio and Wireless Symposium (RWS). IEEE, 2020. http://dx.doi.org/10.1109/rws45077.2020.9050117.
Texto completoLi, Yi y Vasileios Nakos. "Sublinear- Time Algorithms for Compressive Phase Retrieval". En 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 2018. http://dx.doi.org/10.1109/isit.2018.8437599.
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