The calculation and analysis of a power distribution network (PDN) require accurate device parameters. However, PDN has many points, the area is very wide. parameters are influenced by manual entry, most relatively random. Additionally, these affected operating status. Thus, this paper proposes an algorithm that accurately identifies based on Markov chain Monte Carlo (MCMC) method. assumes conf...

A semi-linear second-order stochastic parabolic equation is considered with coefficients, free terms, and initial condition depending on a parameter. It is shown that under some natural conditions the solution can be written as a power series in the parameter. The equations for the coefficients in the power series expansion are derived and the convergence of the power series is studied. An exam...

This paper presents an investigation into parameter adaptation in behavioral model–based digital predistortion for radio frequency power amplifiers. A novel measurement setup framework that emulates real–time adaptation in transmitters is developed that allows evaluation of different parameters, configurations and adaptation algorithms. This setup relieves the need for full feedback loops for p...

We show that, in the halo model of large-scale structure formation, the difference between the Fourier and the DWT (discrete wavelet transform) power spectra provides a statistical measurement of the halos. This statistical quantity is free from parameters related to the shape of the mass profile and the identification scheme of halos. That is, the statistical measurement is invariant in the se...