GMM inference procedures based on the square of the modulus of the model characteristic function are developed using sample moments selected using estimating function theory and bypassing the use of ...

In this paper, the characteristic function method is applied to seek traveling wave solutions of nonlinear partial differential equations in a unified way. We consider the Wu-Zhang equation (which ...

This example requires use of the NRF52 development kit. If you have no idea what the repository is, head on over to part 1 of the tutorial. Ready for the next step? Part 2 is available here. This ...

Abstract: The Cramer-Rao lower bound (CRLB) is widely used in statistical signal processing as a benchmark to evaluate unbiased estimators. However, for some random variables, the probability density ...

A scale-up methodology based on the characteristic function approximation for the mass-transfer rate is proposed that provides a reliable and inexpensive method for designing and controlling an ...

Abstract: A new synthesis method for the generation of the generalized Chebyshev characteristic polynomials has been presented. The general characteristic function is generated by linear combination ...

Densities for the angle Θ = uX(mod 2π) and the cosine $Y = \cos(uX)$ can be expressed, through Fourier methods, in terms of the characteristic function of X. Thus ...

This repository is the official implementation of the paper entitled "PCF-GAN: generating sequential data via the characteristic function of measures on the path space". The characteristic function on ...