In this paper, we explore the use of new time-frequency reassignment tools for the enhancement of prominent features in the time-frequency plane of the wavelet transform. The reassignment method allows for the localisation of time-frequency and time-scale distributions. Here we outline the underlying theory of this relatively new method and apply it to the analysis of test signals. Thereafter the usefulness of the method is demonstrated by application to the analysis of sonic echo signals used in the non-destructive testing (NDT) of foundation piles. We find that the reassignment method, when combined with low oscillation complex wavelet-based transforms, offers potential in identifying highly localised pertinent features that were otherwis...
The first section of this thesis reviews such signal dependent techniques and describes a method of ...
Wavelets and wavelet transforms have become popular new tools in the fields of signal processing and...
Abstract. The discrete wavelet transformation is a relative new tool to analyse discrete time series...
In this paper, we explore the use of new time-frequency reassignment tools for the enhancement of pr...
This study provides the first report on the formulation of short-time continuous wavelet transform a...
W artykule rozważana jest metoda nieniszcząca badania pali w gruncie, przez zastosowanie transformat...
In this study, a synchro-squeezed adaptive wavelet transform (SSAWT) is proposed and defined as an a...
This paper presents the results of feasibility study into the application of the wavelet transform s...
In this study, an amplitude-adaptive wavelet transform is proposed and defined as an average of over...
We investigate the time-frequency localization of the continuous wavelet transform as a tool for ext...
© 2015 Elsevier B.V. All rights reserved. Locating the sources of elastic waves during rapid local s...
The aim of the data analysis is to explore the main characteristics of the signal by a signal transf...
A time-frequency decomposition that can provide higher frequency resolution at lower frequencies and...
Signals consisting of multiple frequencies and changing their amplitude while propagating in time ge...
Air-coupled ultrasound has been used for the nondestructive evaluation of concrete, using broad band...
The first section of this thesis reviews such signal dependent techniques and describes a method of ...
Wavelets and wavelet transforms have become popular new tools in the fields of signal processing and...
Abstract. The discrete wavelet transformation is a relative new tool to analyse discrete time series...
In this paper, we explore the use of new time-frequency reassignment tools for the enhancement of pr...
This study provides the first report on the formulation of short-time continuous wavelet transform a...
W artykule rozważana jest metoda nieniszcząca badania pali w gruncie, przez zastosowanie transformat...
In this study, a synchro-squeezed adaptive wavelet transform (SSAWT) is proposed and defined as an a...
This paper presents the results of feasibility study into the application of the wavelet transform s...
In this study, an amplitude-adaptive wavelet transform is proposed and defined as an average of over...
We investigate the time-frequency localization of the continuous wavelet transform as a tool for ext...
© 2015 Elsevier B.V. All rights reserved. Locating the sources of elastic waves during rapid local s...
The aim of the data analysis is to explore the main characteristics of the signal by a signal transf...
A time-frequency decomposition that can provide higher frequency resolution at lower frequencies and...
Signals consisting of multiple frequencies and changing their amplitude while propagating in time ge...
Air-coupled ultrasound has been used for the nondestructive evaluation of concrete, using broad band...
The first section of this thesis reviews such signal dependent techniques and describes a method of ...
Wavelets and wavelet transforms have become popular new tools in the fields of signal processing and...
Abstract. The discrete wavelet transformation is a relative new tool to analyse discrete time series...