International audienceIn various studies on blind separation of sources, one assumes that sources have the same sign of kurtosis. In fact, this assumption seems very strong and in this paper we studied relation between signal distribution and the sign of the kurtosis. A theoretical result has been found in a simple case. However, for more complex distributions, the kurtosis sign cannot be predicted and may change with parameters. The results give theoretical explanation to tricks, like non-permanent adaptation, used in non stationary situations. Keywords: kurtosis, high order statistics, blind identification and separation, probability density function
Theoretical considerations of kurtosis, whether of partial orderings of distributions with respect t...
We first describe a class of quantile-based kurtosis orderings on symmetric distributions that use d...
The concept of kurtosis is used to describe and compare theoretical and empirical distributions in a...
International audienceIn various studies on blind separation of sources, one assumes that sources ha...
International audienceIn this paper we point out some important properties of the normalized fourth-...
For symmetric unimodal distributions, positive kurtosis indicates heavy tails and peakedness relativ...
We critically review the development of the concept of kurtosis. We conclude that it is best to defi...
We critically review the development of the concept of kurtosis. We conclude that it is best to defi...
In blind source separation, convergence and separation performances are highly dependent on a relati...
The standardized fourth central moment (standardized according to the variance) is often regarded as...
WOS: 000428493900032In this paper we address a number of pitfalls regarding the use of kurtosis as a...
An increase in kurtosis is achieved through the location- and scale-free movement of probability mas...
New, functional, concepts of skewness and kurtosis are introduced for large classes of continuous un...
Kurtosis, usually as measured by the standardised fourth central moment, has been examined on a numb...
Kurtosis (k) is any measure of the "peakedness" of a distribution of a real-valued random variable. ...
Theoretical considerations of kurtosis, whether of partial orderings of distributions with respect t...
We first describe a class of quantile-based kurtosis orderings on symmetric distributions that use d...
The concept of kurtosis is used to describe and compare theoretical and empirical distributions in a...
International audienceIn various studies on blind separation of sources, one assumes that sources ha...
International audienceIn this paper we point out some important properties of the normalized fourth-...
For symmetric unimodal distributions, positive kurtosis indicates heavy tails and peakedness relativ...
We critically review the development of the concept of kurtosis. We conclude that it is best to defi...
We critically review the development of the concept of kurtosis. We conclude that it is best to defi...
In blind source separation, convergence and separation performances are highly dependent on a relati...
The standardized fourth central moment (standardized according to the variance) is often regarded as...
WOS: 000428493900032In this paper we address a number of pitfalls regarding the use of kurtosis as a...
An increase in kurtosis is achieved through the location- and scale-free movement of probability mas...
New, functional, concepts of skewness and kurtosis are introduced for large classes of continuous un...
Kurtosis, usually as measured by the standardised fourth central moment, has been examined on a numb...
Kurtosis (k) is any measure of the "peakedness" of a distribution of a real-valued random variable. ...
Theoretical considerations of kurtosis, whether of partial orderings of distributions with respect t...
We first describe a class of quantile-based kurtosis orderings on symmetric distributions that use d...
The concept of kurtosis is used to describe and compare theoretical and empirical distributions in a...