An orthogonal basis consistent with transient random phenomena is proposed and applied to market data and 1/ƒ noise. For 1/ƒ noise the power-rate spectrum is flat. The basis set leads to a power-rate spectrum and can be used to facilitate the detection of specific signal forms
Modern approaches to solve dynamic problems where random vibration is of significance will in most o...
A general, statistically-based framework based on higher-order cumulant spectra is developed for non...
The empirical pdf of wavelet or MDCT coefficients of audio sig-nal generally feature a sharp peak at...
Time domain definitions for finite bandwidth white noise, and filtered white noise, are detailed and...
I. Int rod uct io n1) The wavelet transform have been used mainly in the fields of signal processing...
The spectrum of potency as same the function of correlation is one of the most important characteris...
Previous formulas for the power spectra of random digital FM signals are generalized to include the ...
The methods of spectral analysis based on the use of any model to describe the signal are considered...
International audienceWe study the behavior of hybrid random waveform models for audio signals, invo...
Signal decomposition and multiscale signal analysis provide useful tools for time-frequency analysis...
An interesting class of non-Gaussian stationary processes is obtained when in the harmonics of a sig...
In this paper we suggest a new discrete spectroscopy for analysis of random signals and fluctuations...
We de\u85ne the transient spectrum as the time-frequency spectrum of a random system undergo-ing a t...
x, 126 leaves : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P BSE 2008 ChanUsing statistica...
This paper is based on the theory developed by Dr. Evangelos Yfantis, professor of Computer Science ...
Modern approaches to solve dynamic problems where random vibration is of significance will in most o...
A general, statistically-based framework based on higher-order cumulant spectra is developed for non...
The empirical pdf of wavelet or MDCT coefficients of audio sig-nal generally feature a sharp peak at...
Time domain definitions for finite bandwidth white noise, and filtered white noise, are detailed and...
I. Int rod uct io n1) The wavelet transform have been used mainly in the fields of signal processing...
The spectrum of potency as same the function of correlation is one of the most important characteris...
Previous formulas for the power spectra of random digital FM signals are generalized to include the ...
The methods of spectral analysis based on the use of any model to describe the signal are considered...
International audienceWe study the behavior of hybrid random waveform models for audio signals, invo...
Signal decomposition and multiscale signal analysis provide useful tools for time-frequency analysis...
An interesting class of non-Gaussian stationary processes is obtained when in the harmonics of a sig...
In this paper we suggest a new discrete spectroscopy for analysis of random signals and fluctuations...
We de\u85ne the transient spectrum as the time-frequency spectrum of a random system undergo-ing a t...
x, 126 leaves : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P BSE 2008 ChanUsing statistica...
This paper is based on the theory developed by Dr. Evangelos Yfantis, professor of Computer Science ...
Modern approaches to solve dynamic problems where random vibration is of significance will in most o...
A general, statistically-based framework based on higher-order cumulant spectra is developed for non...
The empirical pdf of wavelet or MDCT coefficients of audio sig-nal generally feature a sharp peak at...
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