For the fast and exact computation of spherical harmonic transform (SHT) of a band-limited signal defined on the sphere from its samples, the Gauss-Legendre (GL) and equiangular sampling schemes on the sphere require asymptotically least number of samples. In comparison to the equiangular scheme, the GL scheme has larger spatial dimensionality, defined as the number of the samples required for the exact computation of SHT. In this work, we propose an efficient GL sampling scheme with spatial dimensionality equal to that of equiangular scheme. We also propose optimisation of samples along longitude to further reduce the spatial dimensionality of equiangular, GL and efficient GL sampling schemes. Furthermore, we demonstrate that the accuracy ...
8 pagesInternational audienceIn this paper, we report on very efficient algorithms for the spherical...
A sampling theorem on the sphere has been developed recently, requiring half as many samples as alte...
8 pagesInternational audienceIn this paper, we report on very efficient algorithms for the spherical...
For the accurate representation and reconstruction of band-limited signals on the sphere, an optimal...
Abstract—We develop a sampling scheme on the sphere that permits accurate computation of the spheric...
Optimal-dimensionality sampling schemes for band-limited signals (in spherical harmonic degree) on t...
In this work, we carry out the comparative analysis of the geometrical properties of the sampling sc...
For the representation of spin-$s$ band-limited functions on the sphere, we propose a sampling schem...
We develop a novel sampling theorem on the sphere and corresponding fast algorithms by associating t...
We develop a novel sampling theorem on the sphere and corresponding fast algorithms by associating t...
This paper presents a novel sampling scheme on the sphere for obtaining head-related transfer functi...
We design a sampling scheme on the sphere and a corresponding spherical harmonic transform (SHT) for...
We propose a sampling scheme on the sphere and develop a corresponding spherical harmonic transform ...
We present the generalized iterative residual fitting (IRF) for the computation of the spherical har...
Signals collected with spherical geometry appear in a large number and diverse range of real-world a...
8 pagesInternational audienceIn this paper, we report on very efficient algorithms for the spherical...
A sampling theorem on the sphere has been developed recently, requiring half as many samples as alte...
8 pagesInternational audienceIn this paper, we report on very efficient algorithms for the spherical...
For the accurate representation and reconstruction of band-limited signals on the sphere, an optimal...
Abstract—We develop a sampling scheme on the sphere that permits accurate computation of the spheric...
Optimal-dimensionality sampling schemes for band-limited signals (in spherical harmonic degree) on t...
In this work, we carry out the comparative analysis of the geometrical properties of the sampling sc...
For the representation of spin-$s$ band-limited functions on the sphere, we propose a sampling schem...
We develop a novel sampling theorem on the sphere and corresponding fast algorithms by associating t...
We develop a novel sampling theorem on the sphere and corresponding fast algorithms by associating t...
This paper presents a novel sampling scheme on the sphere for obtaining head-related transfer functi...
We design a sampling scheme on the sphere and a corresponding spherical harmonic transform (SHT) for...
We propose a sampling scheme on the sphere and develop a corresponding spherical harmonic transform ...
We present the generalized iterative residual fitting (IRF) for the computation of the spherical har...
Signals collected with spherical geometry appear in a large number and diverse range of real-world a...
8 pagesInternational audienceIn this paper, we report on very efficient algorithms for the spherical...
A sampling theorem on the sphere has been developed recently, requiring half as many samples as alte...
8 pagesInternational audienceIn this paper, we report on very efficient algorithms for the spherical...