Developing a confidence interval for the ratio of two quantities is an important task in statistics because of its omnipresence in real world applications. For such a problem, the MOVER-R (method o…
In this paper, we consider an inverse interaction scattering problem of recovering an interface between the fluid and piezoelectric solid from acoustic measurements. First, the well-posedness of th…
A novel low-complexity combined resampling, retiming and equalizing (RRE) algorithm is proposed. The RRE algorithm uses a single FIR filter for resampling, retiming and equalizing and thus lower th…
We demonstrated the high energy 1.65 μm singular beam generation from a dissipative soliton resonance (DSR) all-fiber Raman laser experimentally. By utilizing advantages of the high nonlinearity a…
A fitness assignment process transforms the features (such as the objective value) of a candidate solution to a scalar fitness, which then is the basis for selection. Under frequency fitness assign…
This paper is concerned with lq (0 < q < 1 ) -norm regularized minimization problems with a twice continuously differentiable loss function. For this class of nonconvex and nonsmooth composite prob…
Helical-core fibers have been widely utilized for various applications such as orbital angular momentum manipulation, optical filtering, and sensing. In this work, we demonstrate the sensitivity en…
The tilted fiber Bragg grating (TFBG) is known as orientation-dependent (rotating along the axial direction) because of the directionality of the grating plane. Upon the orientation of the tilt pla…
We study a fully decentralized federated learning algorithm, which is a novel gradient descent algorithm executed on a communication-based network. For convenience, we refer to it as a network grad…