Abstract: Spectral analysis of non-stationary phenomena using traditional, segment averaged, discrete Fourier transform techniques suffers from limitations related to the trade-off between temporal and spectral resolution. These limitations are inherently due to the assumption of signal stationarity over an observation interval of fixed duration. In case frequency components occur in widely different frequency bands, an alternative technique, based upon the Wavelet transform, yields results with a temporal resolution which is inversely proportional to the analysis frequency. The issue of non-stationary spectral analysis is discussed at the hand of a sound quality problem related to a door slam. It is shown how the Wavelet analysis allows to...
The study deals with the theoretical background and practical acoustical applications of the short-t...
This bachelor thesis is dealing with explanation of time-frequency signal analysis. Basic definition...
International audienceThe authors present a practical guide for studying nonstationary data on human...
Spectral analysis of non-stationary phenomena using traditional, segment averaged, discrete Fourier ...
In view of the deficiency of psychoacoustic objective parameters in prediction of nonstationary vehi...
In this article the limited application of the non-stationary signals spectra classical analysis usi...
The aim of the data analysis is to explore the main characteristics of the signal by a signal transf...
Wavelets and wavelet transforms have become popular new tools in the fields of signal processing and...
Signals consisting of multiple frequencies and changing their amplitude while propagating in time ge...
A typical time signal contain overwhelming amounts of data and some of the signal components represe...
Abstract. The discrete wavelet transformation is a relative new tool to analyse discrete time series...
A new feature vector for automatic acoustic quality control is presented and applied to the classifi...
Noise induced hearing loss (NIHL) is a serious occupational related health problem worldwide. The A-...
Abstract. This paper studies two data analytic methods: Fourier transforms and wavelets. Fourier tra...
Spectral analysis of non-stationary signals is known to be a challenging task. Classical methods lik...
The study deals with the theoretical background and practical acoustical applications of the short-t...
This bachelor thesis is dealing with explanation of time-frequency signal analysis. Basic definition...
International audienceThe authors present a practical guide for studying nonstationary data on human...
Spectral analysis of non-stationary phenomena using traditional, segment averaged, discrete Fourier ...
In view of the deficiency of psychoacoustic objective parameters in prediction of nonstationary vehi...
In this article the limited application of the non-stationary signals spectra classical analysis usi...
The aim of the data analysis is to explore the main characteristics of the signal by a signal transf...
Wavelets and wavelet transforms have become popular new tools in the fields of signal processing and...
Signals consisting of multiple frequencies and changing their amplitude while propagating in time ge...
A typical time signal contain overwhelming amounts of data and some of the signal components represe...
Abstract. The discrete wavelet transformation is a relative new tool to analyse discrete time series...
A new feature vector for automatic acoustic quality control is presented and applied to the classifi...
Noise induced hearing loss (NIHL) is a serious occupational related health problem worldwide. The A-...
Abstract. This paper studies two data analytic methods: Fourier transforms and wavelets. Fourier tra...
Spectral analysis of non-stationary signals is known to be a challenging task. Classical methods lik...
The study deals with the theoretical background and practical acoustical applications of the short-t...
This bachelor thesis is dealing with explanation of time-frequency signal analysis. Basic definition...
International audienceThe authors present a practical guide for studying nonstationary data on human...