Add to ORKGWavelet analysis is a powerful and popular tool for the analysis of non-stationary signals. The wavelet transform is a joint function of the time series of interest x(t) and an analysing wavelet ψ(t). This transform isolates signal variability both in time t, and also in scale s, b
The advantages of utilising wavelet analysis to study the dependence of sea level variability on met...
The analysis, identification, characterization and simulation of random processes utilizing both the...
A wavelet is a relatively new mathematical tool that can be used to analyze data arising in PTTI app...
Time-frequency analysis and digital signal processing are important tools in the field of coastal en...
Tides are often non-stationary on multiple time-scales due to non-linear dynamical interactions. Inv...
pro or e ari sis e s on sfo an llus tion but non-stationary, e.g. baroclinic tidal currents, river t...
Non-stationary time series (TS) analysis has gained an explosive interest over the recent decades in...
The analysis of transient signals using classical techniques is frequently not satisfactory. The Fou...
Paper presents method of Continuous Wavelet Transform (CWT) used in process of hydroacoustics signal...
he wavelet transform has emerged over recent years as a powerful time–frequency analysis and signal-...
Wavelet transforms provide a valuable new tool for analysis of tidal processes that deviate markedly...
Summary. Discrete wavelet transforms (DWTs) are mathematical tools that are useful for analyzing geo...
Wavelet transform is a term from signal analysis. It is mostly used in physics, but also in finance,...
Signals consisting of multiple frequencies and changing their amplitude while propagating in time ge...
Discrete-time wavelet transform (DWT) is found to be better than other transforms in the time-varyin...
The advantages of utilising wavelet analysis to study the dependence of sea level variability on met...
The analysis, identification, characterization and simulation of random processes utilizing both the...
A wavelet is a relatively new mathematical tool that can be used to analyze data arising in PTTI app...
Time-frequency analysis and digital signal processing are important tools in the field of coastal en...
Tides are often non-stationary on multiple time-scales due to non-linear dynamical interactions. Inv...
pro or e ari sis e s on sfo an llus tion but non-stationary, e.g. baroclinic tidal currents, river t...
Non-stationary time series (TS) analysis has gained an explosive interest over the recent decades in...
The analysis of transient signals using classical techniques is frequently not satisfactory. The Fou...
Paper presents method of Continuous Wavelet Transform (CWT) used in process of hydroacoustics signal...
he wavelet transform has emerged over recent years as a powerful time–frequency analysis and signal-...
Wavelet transforms provide a valuable new tool for analysis of tidal processes that deviate markedly...
Summary. Discrete wavelet transforms (DWTs) are mathematical tools that are useful for analyzing geo...
Wavelet transform is a term from signal analysis. It is mostly used in physics, but also in finance,...
Signals consisting of multiple frequencies and changing their amplitude while propagating in time ge...
Discrete-time wavelet transform (DWT) is found to be better than other transforms in the time-varyin...
The advantages of utilising wavelet analysis to study the dependence of sea level variability on met...
The analysis, identification, characterization and simulation of random processes utilizing both the...
A wavelet is a relatively new mathematical tool that can be used to analyze data arising in PTTI app...