Aiming at the problem that the single-intensity phase retrieval method has poor reconstruction quality and low probability of successful recovery, an improved method is proposed in this paper. Our method divides the phase retrieval into two steps: firstly, the GS algorithm is used to recover the amplitude in the spatial domain from the single-spread Fourier spectrum, and then the classical GS algorithm using two intensity measurements (one is recorded and the other is estimated from the first step) measurements is used to recover the phase. Finally, the effectiveness of the proposed method is verified by numerical experiments
We address the problem of signal reconstruction from intensity measurements with respect to a measur...
In this dissertation, we study a new approach to the problem of phase retrieval, which is the task o...
We address the problem of signal reconstruction from intensity measurements with respect to a measur...
Iterative algorithms for phase retrieval from intensity data are compared to gradient search methods...
Reconstruction of an image, or the phase of its Fourier transform, when only the magnitude or intens...
Optical signals have two basic components that are power and phase, which can be demonstrated in bot...
In many applications, signals are measured according to a linear process, but the phases of these me...
Phase retrieval finds applications in various optical imaging modalities such as X-ray crystallograp...
In this work we consider the problem of reconstruction of a signal from the magnitude of its Fourier...
A robust and low-complexity algorithm is developed to infer the phase of an optical field from a seq...
In many applications, signals are measured according to a linear process, but the phases of these me...
We discuss the reconstruction of a finite-dimensional signal from the absolute values of its Fourier...
In this paper, we consider the problem of recovering the phase information of multiple sources from ...
We present a new method for real- and complex-valued image reconstruction from two intensity measure...
National Natural Science Foundation of China [61377005, 61327902]; Chinese Academy of Sciences [QYZD...
We address the problem of signal reconstruction from intensity measurements with respect to a measur...
In this dissertation, we study a new approach to the problem of phase retrieval, which is the task o...
We address the problem of signal reconstruction from intensity measurements with respect to a measur...
Iterative algorithms for phase retrieval from intensity data are compared to gradient search methods...
Reconstruction of an image, or the phase of its Fourier transform, when only the magnitude or intens...
Optical signals have two basic components that are power and phase, which can be demonstrated in bot...
In many applications, signals are measured according to a linear process, but the phases of these me...
Phase retrieval finds applications in various optical imaging modalities such as X-ray crystallograp...
In this work we consider the problem of reconstruction of a signal from the magnitude of its Fourier...
A robust and low-complexity algorithm is developed to infer the phase of an optical field from a seq...
In many applications, signals are measured according to a linear process, but the phases of these me...
We discuss the reconstruction of a finite-dimensional signal from the absolute values of its Fourier...
In this paper, we consider the problem of recovering the phase information of multiple sources from ...
We present a new method for real- and complex-valued image reconstruction from two intensity measure...
National Natural Science Foundation of China [61377005, 61327902]; Chinese Academy of Sciences [QYZD...
We address the problem of signal reconstruction from intensity measurements with respect to a measur...
In this dissertation, we study a new approach to the problem of phase retrieval, which is the task o...
We address the problem of signal reconstruction from intensity measurements with respect to a measur...