Add to ORKGDiscrete-time wavelet transform (DWT) is found to be better than other transforms in the time-varying system analysis, e.g. for time-varying parametric modelling [16], time-varying systems identification [17], time-varying parameter estimation [18] and time domain signal analysis [19]. In the literature the common method to analyze the time-varying system usin
Summary. Discrete wavelet transforms (DWTs) are mathematical tools that are useful for analyzing geo...
Discrete wavelet transform (DWT) has gained widespread recognition and popularity in signal processi...
Wavelet analysis is a powerful and popular tool for the analysis of non-stationary signals. The wave...
Discrete-time wavelet transform (DWT) is found to be better than other transforms in the time-varyin...
Wavelet transform is a term from signal analysis. It is mostly used in physics, but also in finance,...
In this thesis, we generalize the classical discrete wavelet transform, and construct wavelet transf...
Discrete wavelet transform (DWT) algorithms have become standard tools for discrete-time signal and ...
A new analysis method based on wavelet domain for linear time-varying systems is developed and intro...
A systematic framework is developed to address the parametric linear time-varying system identificat...
Orthonormal wavelet bases provide an alternative technique for the analysis of non-stationary signal...
The aim of the data analysis is to explore the main characteristics of the signal by a signal transf...
<div><p>ABSTRACT Due to the ability of time-frequency location, the wavelet transform has been appli...
Signals consisting of multiple frequencies and changing their amplitude while propagating in time ge...
Discrete wavelet transform (DWT) has gained widespread recognition and popularity in signal processi...
he wavelet transform has emerged over recent years as a powerful time–frequency analysis and signal-...
Summary. Discrete wavelet transforms (DWTs) are mathematical tools that are useful for analyzing geo...
Discrete wavelet transform (DWT) has gained widespread recognition and popularity in signal processi...
Wavelet analysis is a powerful and popular tool for the analysis of non-stationary signals. The wave...
Discrete-time wavelet transform (DWT) is found to be better than other transforms in the time-varyin...
Wavelet transform is a term from signal analysis. It is mostly used in physics, but also in finance,...
In this thesis, we generalize the classical discrete wavelet transform, and construct wavelet transf...
Discrete wavelet transform (DWT) algorithms have become standard tools for discrete-time signal and ...
A new analysis method based on wavelet domain for linear time-varying systems is developed and intro...
A systematic framework is developed to address the parametric linear time-varying system identificat...
Orthonormal wavelet bases provide an alternative technique for the analysis of non-stationary signal...
The aim of the data analysis is to explore the main characteristics of the signal by a signal transf...
<div><p>ABSTRACT Due to the ability of time-frequency location, the wavelet transform has been appli...
Signals consisting of multiple frequencies and changing their amplitude while propagating in time ge...
Discrete wavelet transform (DWT) has gained widespread recognition and popularity in signal processi...
he wavelet transform has emerged over recent years as a powerful time–frequency analysis and signal-...
Summary. Discrete wavelet transforms (DWTs) are mathematical tools that are useful for analyzing geo...
Discrete wavelet transform (DWT) has gained widespread recognition and popularity in signal processi...
Wavelet analysis is a powerful and popular tool for the analysis of non-stationary signals. The wave...