To extract important information about the nonlinear signals, this letter makes the utmost of
the fitting advantages of Gaussian and polynomial functions, and proposes a nonlinear …

We propose a transfer learning assisted deep neural network (DNN) method for optical-
signal-to-noise ratio (OSNR) monitoring and realize fast remodel to response to various …

We propose a cascaded neural network (NN) to simultaneously identify the modulation
formats and monitor the optical-signal-to-noise ratio (OSNR). In the second-level network, it …

Deformation has a significant effect on the machining accuracy of the monolithic
components. Fluctuant initial residual stress is one of the factors causing deformation. In this …

In the letter, a new frequency offset generation method based on polynomial fitting is
proposed. The frequency offset can be obtained by sampling the fitted curve. By adjusting …

Fault steady-state analysis method can help to analyze the variation law of electrical
quantities, clarify the fault characteristics, and provide the basis of power system design …

We propose a novel in-band optical signal to noise ratio (OSNR) monitoring technique in
digital coherent receiver based on fractional Fourier transform (FrFT), which employs the …

This paper uses an in-band optical performance monitoring (OPM) method based on
autocorrelation, offering high sensitivity and multi-damage monitoring. The proposed …