International audienceIn this chapter, we tackled higher order statistics (HOS) for 2-D signals. In the first part, we recall the definitions of moments and spectra of higher orders as well as their generalization to 2-D signals. We see that the third-order moments as well as the bispectra are 4-D quantities and that the exploitation of the information contained in this structure is found to be difficult. We have to define the structures (projections following given axis) to interpret the bispectral information
The Wigner higher order moment spectra (WHOS) are defined as extensions of the Wigner-Ville distribu...
In moment structure analysis with nonnormal data, asymptotic valid inferences require the computati...
Copyright © 2012 Cauchy Pradhan et al. This is an open access article distributed under the Creative...
International audienceIn this chapter, we tackled higher order statistics (HOS) for 2-D signals. In ...
In this paper, basic terms of the higher order spectrum theory as moments and cumulants of random va...
This thesis is concerned with the development of useful engineering techniques to detect and analyse...
Techniques which utilise a signal's Higher Order Statistics (HOS) can reveal information about non-...
This paper develops the theory behind the bispectrum, a concept that is well established in statisti...
The angular bispectrum of spherical random fields has recently gained an enormous importance, especi...
Most of recent and important algorithms in signal processing (for blind identification or separation...
A new algorithm for extracting features from images for object recognition is described, The algorit...
International audiencePolyspectra are related to Fourier transforms of moment or cumulant functions ...
The position-dependent power spectrum has been recently proposed as a descriptor of gravitationally ...
During recent years higher order statistics (HOS) have found a wide applicability in many diverse fi...
An approach to pattern recognition using invariant parameters based on higher-order spectra is prese...
The Wigner higher order moment spectra (WHOS) are defined as extensions of the Wigner-Ville distribu...
In moment structure analysis with nonnormal data, asymptotic valid inferences require the computati...
Copyright © 2012 Cauchy Pradhan et al. This is an open access article distributed under the Creative...
International audienceIn this chapter, we tackled higher order statistics (HOS) for 2-D signals. In ...
In this paper, basic terms of the higher order spectrum theory as moments and cumulants of random va...
This thesis is concerned with the development of useful engineering techniques to detect and analyse...
Techniques which utilise a signal's Higher Order Statistics (HOS) can reveal information about non-...
This paper develops the theory behind the bispectrum, a concept that is well established in statisti...
The angular bispectrum of spherical random fields has recently gained an enormous importance, especi...
Most of recent and important algorithms in signal processing (for blind identification or separation...
A new algorithm for extracting features from images for object recognition is described, The algorit...
International audiencePolyspectra are related to Fourier transforms of moment or cumulant functions ...
The position-dependent power spectrum has been recently proposed as a descriptor of gravitationally ...
During recent years higher order statistics (HOS) have found a wide applicability in many diverse fi...
An approach to pattern recognition using invariant parameters based on higher-order spectra is prese...
The Wigner higher order moment spectra (WHOS) are defined as extensions of the Wigner-Ville distribu...
In moment structure analysis with nonnormal data, asymptotic valid inferences require the computati...
Copyright © 2012 Cauchy Pradhan et al. This is an open access article distributed under the Creative...