FROG-measurement based phase retrieval for analytic signals

نویسندگان

چکیده

While frequency-resolved optical gating (FROG) is widely used in characterizing the ultrafast pulse optics, analytic signals are often considered time-frequency analysis and signal processing, especially when extracting instantaneous features of events. In this paper we examine phase retrieval (PR) problem CN by their FROG measurements. After establishing ambiguity FROG-PR signals, found that even lengths different from odd lengths, it also case B-bandlimited with B≤N/2. The existing approach to bandlimited can be applied but does not apply length case. With help two relaxed problems a translation technique, develop an for prove generic uniquely (up ambiguity) determined (3N/2+1) Phase derivative (or frequency) significant feature analysis. As application our main result, established determine derivatives decaying exploiting ambiguity.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Phase Retrieval for Sparse Signals

The aim of this paper is to build up the theoretical framework for the recovery of sparse signals from the magnitude of the measurement. We first investigate the minimal number of measurements for the success of the recovery of sparse signals without the phase information. We completely settle the minimality question for the real case and give a lower bound for the complex case. We then study t...

متن کامل

Characterization of analytic phase signals

In many cases, a real-valued signal x(t) may be associated with a complex-valued signal a(t)e ~°(t) , the analytic signal associated with x'(t) with the characteristic properties x(t) = a(t) cos O(t) and "H(a(.)cos0(-))(t) = a(t)sin0(t). Using such obtained amplitude-frequency modulation the instantaneous frequency of x(t) at the time to may be defined to be 0'(t0), provided O'(to) >_ O. The pr...

متن کامل

Phase Retrieval for Sparse Signals: Uniqueness Conditions

In a variety of fields, in particular those involving imaging and optics, we often measure signals whose phase is missing or has been irremediably distorted. Phase retrieval attempts the recovery of the phase information of a signal from the magnitude of its Fourier transform to enable the reconstruction of the original signal. A fundamental question then is: “Under which conditions can we uniq...

متن کامل

Compressive phase retrieval of sparse bandlimited signals

This contribution proposes a two stage strategy to allow for phase retrieval in state of the art sub-Nyquist sampling schemes for sparse multiband signals. The proposed strategy is based on data acquisition via modulated wideband converters known from sub-Nyquist sampling. This paper describes how the modulators have to be modified such that signal recovery from sub-Nyquist amplitude samples be...

متن کامل

Phase retrieval for superposed signals from multiple binary objects.

We introduce the binary superposed phase retrieval problem that aims at reconstructing multiple 0/1-valued functions with nonoverlapping bounded supports from moduli of superpositions of several displaced copies of their individual Fourier transforms. We discuss an application in coherent diffraction imaging of crystalline objects, propose two algorithms, and evaluate their performance by means...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Applied and Computational Harmonic Analysis

سال: 2021

ISSN: ['1096-603X', '1063-5203']

DOI: https://doi.org/10.1016/j.acha.2021.05.005