Web27 de mai. de 2016 · In this paper we focus on the 2D phase retrieval problem and provide insight into this uniqueness property by exploring the connection between the 2D and 1D formulations. In particular, we show that 2D phase retrieval can be cast as a 1D problem with additional constraints, which limit the solution space. Webcan also solve the phase retrieval problem. Re-constructing astronomical images from intensity interferometrydata[15]orfromstellarspeckleinter-ferometry data [16] was of particular interest. The phase retrieval problem, as found in x-ray crystallography, astronomical imaging, Fourier transform spectroscopy and some other fields, is dif-

The phase retrieval problem - IOPscience - Institute of Physics

WebThe use of a "window" 2D Hilbert transform for reconstruction of the phase distribution of remote objects is proposed. It is shown that the advantage of this approach consists in the invariance of a phase map to a change of the position of the kernel of ... Webto solve the 2D phase retrieval problem when it is unique. Index Terms—Phase retrieval, 2D autocorrelation, uniqueness. I. INTRODUCTION Recovery of a signal from the … how heavy is a mango

Two dimensional phase retrieval using neural networks

Webliterature suggests that the sample requirement exceeds n>2d[14] and in high dimensional regimes this can be especially challenging, since the computational complexity is also proportional to nand d. Compressive phase retrieval (CPR) models use sparsity as a prior for reducing sample requirements; WebPhase retrieval is the process of algorithmically finding solutions to the phase problem. Given a complex signal , of amplitude , and phase : where x is an M -dimensional spatial … WebThe phase retrieval problem has been around for more than a century, ... [24] proved that for band-limited signals, the 2D phase retrieval prob-lem has unique solutions, almost … how heavy is a mammoth