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 …

In many applications, d-dimensional observations result from the random presence or
absence of random signals in independent and additive white Gaussian noise. An estimate …

This paper proposes a new intelligent recognition method for concrete ultrasonic detection
based on wavelet packet transform and a convolutional neural network (CNN). To validate …

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 …

This paper provides asymptotic properties of the autocorrelation functions of the wavelet
packet coefficients of a fractional Brownian motion. It also discusses the convergence speed …

In this paper, we investigate the local PDF of natural signals in sparse domains. The
statistical properties of natural signals are characterized more accurately in the sparse …

Exchanging too many messages for fault detection will cause not only a degradation of the
network quality of service, but also represents a huge burden on the limited energy of …

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 book proposes a transverse mathematical perspective of deep machine learning in
artificial intelligence, and to do so, it develops a framework of generalized transformations …

The moving average of the complex modulus of the analytic wavelet transform provides a
robust time-scale representation for signals to small time shifts and deformation. In this work …