The zero-crossing problem is the determination of the probability density function of the intervals between the successive axis crossings of a stochastic process. This thesis studies the properties of the zero-crossings of stationary processes belonging to the symmetric-stable class of Gaussian and non-Gaussian type, corresponding to the stability index nu=2 and 0<nu<2 respectively
The exact distribution of extremes of a non-gaussian stationary discrete process is obtained and the...
We describe and compare how methods based on the classical Rice’s formula for the expected number, a...
We establish zero-crossing rate (ZCR) relations between the input and the subbands of a maximally de...
The zero-crossing problem is the determination of the probability density function of the intervals ...
The problem of zero crossings is of great historical prevalence and promises extensive application. ...
Continuous random processes are used to model a huge variety of real world phenomena. In particular,...
Zero-crossing analysis is an old problem, with various attempts to tackle it not yet having led to a...
In applications spanning from image analysis and speech recognition to energy dissipation in turbule...
Characterising the behaviour of a random process with respect to returns to previous states is a per...
A lacunarity analysis of the zero-crossings derived from Gaussian stochastic processes with oscillat...
In this dissertation we present extensions of Rice's formula for the expected zero-crossing rate of ...
AbstractConsistency issues related to autocorrelation estimation for Gaussian processes with mixed s...
This thesis considers the interplay between the continuous and discrete properties of random stochas...
AbstractThe exact distribution of extremes of a non-gaussian stationary discrete process is obtained...
AbstractA model process is obtained for the behaviour of a non-differentiable but continuous station...
The exact distribution of extremes of a non-gaussian stationary discrete process is obtained and the...
We describe and compare how methods based on the classical Rice’s formula for the expected number, a...
We establish zero-crossing rate (ZCR) relations between the input and the subbands of a maximally de...
The zero-crossing problem is the determination of the probability density function of the intervals ...
The problem of zero crossings is of great historical prevalence and promises extensive application. ...
Continuous random processes are used to model a huge variety of real world phenomena. In particular,...
Zero-crossing analysis is an old problem, with various attempts to tackle it not yet having led to a...
In applications spanning from image analysis and speech recognition to energy dissipation in turbule...
Characterising the behaviour of a random process with respect to returns to previous states is a per...
A lacunarity analysis of the zero-crossings derived from Gaussian stochastic processes with oscillat...
In this dissertation we present extensions of Rice's formula for the expected zero-crossing rate of ...
AbstractConsistency issues related to autocorrelation estimation for Gaussian processes with mixed s...
This thesis considers the interplay between the continuous and discrete properties of random stochas...
AbstractThe exact distribution of extremes of a non-gaussian stationary discrete process is obtained...
AbstractA model process is obtained for the behaviour of a non-differentiable but continuous station...
The exact distribution of extremes of a non-gaussian stationary discrete process is obtained and the...
We describe and compare how methods based on the classical Rice’s formula for the expected number, a...
We establish zero-crossing rate (ZCR) relations between the input and the subbands of a maximally de...
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