Phase retrieval
On stability of generalized phase retrieval and generalized affine phase retrieval
... corresponding to generalized phase retrieval and generalized affine phase retrieval in the real case. First, we show the bi-Lipschitz property on measurements of noiseless signals. After that, ...
13
Iterative projection approach for phase retrieval of semi sparse wave field
... 3.1 Conventional iterative projection approaches To the best of our knowledge, GS is the first success- ful iterative projection approach for the phase retrieval problem. Even more important, the work on GS ...
13
A Fast Iterative Algorithm Based on the Wirtinger Flow for Phase Retrieval
... the phase retrieval problem is to recover the original signal only from phase-less amplitude measurements of ...a phase recovery model based on the magnitude of the signal ...
5
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming
... Phase retrieval has been of continued interest in the fields of signal processing, imaging, physics, computational science, ...which phase retrieval arises is the X-ray crystallography ...
28
A Novel Phase Retrieval Approach for Electromagnetic Inverse Scattering Problem with Intensity-Only Data
... both phase and intensity), which causes the optimization procedure easily be trapped by local minimums and slow down the convergence ...the phase of data from their amplitude first, and then run a standard ...
17
Wideband Validation of a Phase Retrieval Process Applied to Infrared Planar Near-Field Measurements
... PTP phase retrieval process [5, 6, 14, 15] as far as no a-priori information related to the source geometry is available and because of the huge number of unknowns ...
16
Comparison Between Two Phase-Retrieval Methods for Electromagnetic Source Modeling
... the phase information for test cases with dimensions of the measurement planes and plane separations much less than a ...other phase-retrieval methods, see for example [1, 2, 4, 12, 15], normally use ...
15
A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms
... gradient descent algorithm (referred to as RWF for reshaped Wirtinger flow) by minimizing the quadratic loss of the magnitude measurements. Comparing with Wirtinger flow (WF) (Cand` es et al., 2015), the loss function of ...
35
A system study of sparse aperture sensors in remote sensing applications with explicit phase retrieval
... Sparse aperture designs use multiple primary mirrors in alignment to increase optical resolution, as opposed to using just one bigger primary mirror. Sparse apertures are de- fined to have a low amount of active optical ...
214
Performance Evaluation of Phase-Angle Gradient Method for Phase Retrieval Based on Low-Frequency Amplitude-Only Near-Field Data
... of phase retrieval using the PAGM for different configurations has been ...the phase information for test cases with different sources as well as various separations between and sizes of the ...
18
On stability of generalized (affine) phase retrieval in the complex case
... P.: Phase retrieval techniques for radar ambiguity ...R.P.: Phase retrieval in crystallography and ...of phase retrieval in ...
12
Convex Programming Based Phase Retrieval: Theory and Applications
... Firstly, I would like to express my sincere gratitude to my advisor Prof. Babak Hassibi. I could not have imagined having a better advisor and mentor for my Ph.D. studies. His immense knowledge, guidance, kindness and ...
150
Sparse representation utilizing tight frame for phase retrieval
... the phase retrieval (PR) problem of reconstructing the interest signal from its Fourier ...Fourier phase information is lost, the problem is ...
11
Aspects of phase retrieval in x ray crystallography
... for phase retrieval, using simulated ...crystal. Phase retrieval was conducted using the difference map algorithm, as described in the previous section, with ¼ 0 : 9, which was started with ...
102
Antenna aperture phase retrieval
... Plane of incidence 23 Plane-to-plane diffraction algorithm 122 Point symmetric images 106 Polar coordinates, normalized 133 Polarization 7 orthogonal 8 sense of 8 unit vector 8 Polarizat[r] ...
290
Advances in phase retrieval and blind deconvolution
... Thus when given a blind deconvolution problem, in which it is known that the convolution components are impulsive, it can be difficult to incorporate this valuable a priori knowledge int[r] ...
204
Blind deconvolution and phase retrieval
... Magnitude of Phase of Real part of Imaginary part of The zeros of the true image autocorrelation of f x, y a convolution point spread function symmetric image the region of image space w[r] ...
201
A Gaussian mixture method for specific differential phase retrieval at X-band frequency
... Flowcharts of K dp estimation algorithms used in the MZZU radar: (a) linear regression model and (b) Gaussian mixture method.. but also gives an estimation of K dp variance by regarding.[r] ...
25
Ray mappings and the weighted least action principle
... Two basic problems in optics are presented. The solutions to both problems are formulated in terms of the associated ray mappings. An alternative formulation based on a weighted sum of the actions along the rays is ...
10
SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows
... the phase-contrast modalities, single-distance PBI is one of the most exploited in SR µ -CT experiments because no additional hardware devices are ...enhanced phase retrieval algorithms as well as ...
9