Sound recordings are used in various ecological studies, including wildlife monitoring by
acoustic surveys. Such surveys often require automatic detection of target sound events in …

This brief derives a 2-D spectrum estimator from some recent results on the statistical
properties of wavelet packet coefficients of random processes. It provides an analysis of the …

This work proposes using Wavelet-Packet Cepstral coefficients (WPPCs) as an alternative
way to do filter-bank energy-based feature extraction (FE) for automatic speech recognition …

The paper addresses the analysis and interpretation of second order random processes by
using the wavelet packet transform. It is shown that statistical properties of the wavelet …

Theoretical aspects of the decorrelation property of the discrete wavelet transform when
applied to stochastic processes have been studied exclusively from the increasing-domain …

The paper addresses content-based image retrieval from texture data bases, by using
stochastic modeling in the wavelet domain. It pro poses an analysis of the key parameters …

This article introduces three types of covariance matrix structures for Gaussian or elliptically
contoured vector random fields in space and/or time, which include fractional, bifractional …

The paper presents two new families of stochastic processes called hyperkernel convolution
train and-counting processes. These models generalize respectively the spike train and …

In this paper, a mathematical background has been constructed for wavelet packet based
texture analysis of self similar images. The paper proposes PSD estimator based on 2 …

Our first goal in this paper is to investigate stationarization and asymptotic decorrelation for
fractional Brownian motion (fBm) using wavelet packet transform. The wavelet packets are …