Optimal-dimensionality sampling schemes for band-limited signals (in spherical harmonic degree) on the sphere have been developed such that the number of samples equals the spectral degrees of freedom. These schemes use iso-latitude rings of samples for the computation of the Spherical Harmonic Transform (SHT) to high accuracy. However, the location of the iso-latitude rings had not been fully optimized to attain the highest possible numerical accuracy of the SHT computation. We study the effect of selecting the set of minimal dimensionality set of latitudes from much larger sets distributed according to different measures. In comparison to the other measures on the sphere used in the literature, we show that the placement of iso-latitude r...
We discuss a novel sampling theorem on the sphere developed by McEwen & Wiaux recently through an as...
We present the generalized iterative residual fitting (IRF) for the computation of the spherical har...
This correspondence studies a spatially localized spectral transform for signals on the unit sphere,...
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...
For the fast and exact computation of spherical harmonic transform (SHT) of a band-limited signal de...
This paper presents a novel sampling scheme on the sphere for obtaining head-related transfer functi...
In this work, we carry out the comparative analysis of the geometrical properties of the sampling sc...
We design a sampling scheme on the sphere and a corresponding spherical harmonic transform (SHT) for...
For the representation of spin-$s$ band-limited functions on the sphere, we propose a sampling schem...
Signals collected with spherical geometry appear in a large number and diverse range of real-world a...
We propose a sampling scheme on the sphere and develop a corresponding spherical harmonic transform ...
www.ucalgary.ca/~blais Abstract. Spherical Harmonic Transforms (SHTs) which are essentially Fourier ...
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...
We discuss a novel sampling theorem on the sphere developed by McEwen & Wiaux recently through an as...
We present the generalized iterative residual fitting (IRF) for the computation of the spherical har...
This correspondence studies a spatially localized spectral transform for signals on the unit sphere,...
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...
For the fast and exact computation of spherical harmonic transform (SHT) of a band-limited signal de...
This paper presents a novel sampling scheme on the sphere for obtaining head-related transfer functi...
In this work, we carry out the comparative analysis of the geometrical properties of the sampling sc...
We design a sampling scheme on the sphere and a corresponding spherical harmonic transform (SHT) for...
For the representation of spin-$s$ band-limited functions on the sphere, we propose a sampling schem...
Signals collected with spherical geometry appear in a large number and diverse range of real-world a...
We propose a sampling scheme on the sphere and develop a corresponding spherical harmonic transform ...
www.ucalgary.ca/~blais Abstract. Spherical Harmonic Transforms (SHTs) which are essentially Fourier ...
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...
We discuss a novel sampling theorem on the sphere developed by McEwen & Wiaux recently through an as...
We present the generalized iterative residual fitting (IRF) for the computation of the spherical har...
This correspondence studies a spatially localized spectral transform for signals on the unit sphere,...