Add to ORKGTo characterize and process a signal, many high order statistics are used by the signal processing researchers. Specific features of the data (temporal, stationary) and real time applications require the development of new estimators. In this paper, we study some estimators of high order moment and cumulant using adapted to different kind of signals
We consider the problem of estimation of the signal-to-noise ratio (SNR) of an unknown deterministic...
International audienceThe authors deal with the use of higher-order time-frequency distributions for...
The Wigner higher order moment spectra (WHOS) are defined as extensions of the Wigner-Ville distribu...
International audienceTo characterize and process a signal, many high order statistics are used by t...
Abstract: Speech is the easiest mean of communication for human. The reason why the vocal command al...
Most of recent and important algorithms in signal processing (for blind identification or separation...
International audienceMost of recent and important algorithms in signal processing (for blind identi...
During recent years higher order statistics (HOS) have found a wide applicability in many diverse fi...
The importance of higher-order statistics (HOS) is clearly reflected in their increasingly wide appl...
n this paper, stochastic processes with higher order statistical functions decomposable into an almo...
A new criterion for speech segmentation based on higher order moments is presented. It is shown that...
The primary focus of this dissertation is the problem of formant tracking of speech embedded in nois...
An investigation of the problem of the estimation of formant frequencies of speech embedded in noise...
Expressions are provided for extracting higher order effects in the computation of higher order auto...
We consider the problem of estimation of the signal-to-noise ratio (SNR) of an unknown deterministic...
International audienceThe authors deal with the use of higher-order time-frequency distributions for...
The Wigner higher order moment spectra (WHOS) are defined as extensions of the Wigner-Ville distribu...
International audienceTo characterize and process a signal, many high order statistics are used by t...
Abstract: Speech is the easiest mean of communication for human. The reason why the vocal command al...
Most of recent and important algorithms in signal processing (for blind identification or separation...
International audienceMost of recent and important algorithms in signal processing (for blind identi...
During recent years higher order statistics (HOS) have found a wide applicability in many diverse fi...
The importance of higher-order statistics (HOS) is clearly reflected in their increasingly wide appl...
n this paper, stochastic processes with higher order statistical functions decomposable into an almo...
A new criterion for speech segmentation based on higher order moments is presented. It is shown that...
The primary focus of this dissertation is the problem of formant tracking of speech embedded in nois...
An investigation of the problem of the estimation of formant frequencies of speech embedded in noise...
Expressions are provided for extracting higher order effects in the computation of higher order auto...
We consider the problem of estimation of the signal-to-noise ratio (SNR) of an unknown deterministic...
International audienceThe authors deal with the use of higher-order time-frequency distributions for...
The Wigner higher order moment spectra (WHOS) are defined as extensions of the Wigner-Ville distribu...