Analyzes time-frequency domain character of the PDF of wavelet coefficients and chooses to extract the higher-order statistical moments from the frequency domain.

This paper deals with a kinetic model of the Boltzmann equation,a generalized version of the Tjon-Wu equation,and the estimates of high moments of the solution to the Cauchy problem of the equation in the L1,1norm are studied.

Aiming at the problem of misrecognitions due to overfitting in conventional elastic matching for handwritten character recognitin,a deformable elastic matching approach based on high order statistics is proposed in this paper.

Herein,a new simpler and faster algorithm was introduced based on higher order statistics,which could overcome the problem of nonlinear function and step choice.

Based on high order statistics, the non-parametric and parametric methods, which estimate the time delay between the receiving and emissive signal, are presented in wellhead acoustic emissive gas influx detection.