There are basically two strategies which can be used to discriminate high dimensional
spectral data. It is common practice to first reduce the dimensionality by some feature …

Continuous wavelet transforms (CWTs) are widely recognized as effective tools for vibration-
based machine fault diagnosis, as CWTs can detect both stationary and transitory signals …

A major concern arising from the classification of spectral data is that the number of
variables or dimensionality often exceeds the number of available spectra. This leads to a …

Robust recognition for image and speech processing needs data compression that
preserves features. To accomplish this, we have utilized the discrete wavelet transforms and …

The purpose of this paper is to define the vision and future strategy for advancing the use of
automation in underwater mine recognition. The technical portion of this strategy is founded …

High-resolution (675 kHz) side-scan sonar surveys were collected six and thirty months after
a major coral bleaching event in the Seychelles. The surveyed areas contain four different …

In this study, an amplitude-adaptive wavelet transform is proposed and defined as an
average of overlapped short-time wavelet transforms with optimized time-varying resolution …

This article considers the use of wavelet methods in relation to a common signal processing
problem, that of detecting transient features in sound recordings that contain interference or …

In this paper we examine the use of bathymetric sidescan sonar for automatic classification
of seabed sediments. Bathymetric sidescan sonar, here implemented through a small …

In this study, a synchro-squeezed adaptive wavelet transform (SSAWT) is proposed and
defined as an average of overlapped short-time wavelet transforms with optimized time …