Phase retrieval with application to optical imaging: a contemporary overview
The problem of phase retrieval, ie, the recovery of a function given the magnitude of its
Fourier transform, arises in various fields of science and engineering, including electron …
Fourier transform, arises in various fields of science and engineering, including electron …
Phase retrieval: An overview of recent developments
Contents Introduction................................................... 264Classic Approaches................................
........... 265 Recent Approaches........................................... 266Sparse Phase …
........... 265 Recent Approaches........................................... 266Sparse Phase …
[HTML][HTML] Phase recovery and holographic image reconstruction using deep learning in neural networks
Phase recovery from intensity-only measurements forms the heart of coherent imaging
techniques and holography. In this study, we demonstrate that a neural network can learn to …
techniques and holography. In this study, we demonstrate that a neural network can learn to …
Infrared small target detection via nonconvex tensor fibered rank approximation
X Kong, C Yang, S Cao, C Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Infrared small target detection plays an important role in precision guidance, infrared
warning, and other applications. The infrared patch-tensor (IPT) model has good detection …
warning, and other applications. The infrared patch-tensor (IPT) model has good detection …
[图书][B] Computational methods for electromagnetic inverse scattering
X Chen - 2018 - books.google.com
A comprehensive and updated overview of the theory, algorithms and applications of for
electromagnetic inverse scattering problems Offers the recent and most important advances …
electromagnetic inverse scattering problems Offers the recent and most important advances …
Phase retrieval via Wirtinger flow: Theory and algorithms
We study the problem of recovering the phase from magnitude measurements; specifically,
we wish to reconstruct a complex-valued signal about which we have phaseless samples of …
we wish to reconstruct a complex-valued signal about which we have phaseless samples of …
A geometric analysis of phase retrieval
Can we recover a complex signal from its Fourier magnitudes? More generally, given a set
of m measurements, y_k=\left| a _k^* x\right| yk= ak∗ x for k= 1, ..., mk= 1,…, m, is it possible …
of m measurements, y_k=\left| a _k^* x\right| yk= ak∗ x for k= 1, ..., mk= 1,…, m, is it possible …
Low-rank matrix completion: A contemporary survey
As a paradigm to recover unknown entries of a matrix from partial observations, low-rank
matrix completion (LRMC) has generated a great deal of interest. Over the years, there have …
matrix completion (LRMC) has generated a great deal of interest. Over the years, there have …
Solving systems of random quadratic equations via truncated amplitude flow
This paper presents a new algorithm, termed truncated amplitude flow (TAF), to recover an
unknown vector x from a system of quadratic equations of the form yi=|< ai, x>| 2, where ai's …
unknown vector x from a system of quadratic equations of the form yi=|< ai, x>| 2, where ai's …
Implicit regularization in nonconvex statistical estimation: Gradient descent converges linearly for phase retrieval and matrix completion
Recent years have seen a flurry of activities in designing provably efficient nonconvex
optimization procedures for solving statistical estimation problems. For various problems like …
optimization procedures for solving statistical estimation problems. For various problems like …