In the wavelet theory a scaling function is used, which has properties that are defined in the MSA (multi scale analysis). Through the MSA we know, we can construct an orthonormal basis of a closed ...

Bernstein polynomial estimation provides a robust nonparametric technique for approximating both density and distribution functions. Based on the properties of Bernstein polynomials, which uniformly ...

Abstract: This letter introduces condition number-constrained approximation to matrices used for signal estimation and detection. Under a Frobenius norm criterion, the closed-form solution to the ...

This is a preview. Log in through your library . Abstract The paper deals with upper and lower bounds for the quality of (probability) density estimation. Connections are established between these ...

This is a preview. Log in through your library . Abstract When a continuous-time diffusion is observed only at discrete dates, in most cases the transition distribution and hence the likelihood ...

Abstract: A stochastic approximation procedure that minimizes a mean-square-error criterion is proposed in this paper. It is applied first to derive an algorithm for ...

The present codes estimate the network statistics of the Hopf whole-brain model (Deco et al. 2017). This model corresponds to a network of nonlinear oscillators described by a normal form of a ...

For remaining useful life prediction tasks, we propose a highly easy-to-understand and brand-new solution way for the data-driven RUL prediction, Degradation Path Approximation (DPA). Many research ...